Type and Unit definitions

Adjustment factor distribution method types

Accepted justment factor distribution method types.

Table 494 Unit definition for Adjustment factor distribution method types.
Name Accepted names Description

No adjustment factor

None

No adjustment factor.

Fixed adjustment factor

Fixed

Fixed adjustment factor.

LogNormal

LogNormal

Lognormal distribution with parameters a and b and offset c (default c = 0).

LogStudents_t

LogStudents_t

Log Students-t distribution with parameters a, b and c and offset d (default d = 0).

Beta

Beta

Beta distribution with shape parameters a and b on interval [c, d], (default = 0, 1).

Gamma

Gamma

Gamma distribution with shape parameter a and rate parameter b with offset = c (default = 0).

Age alignment method

Age alignment method used for the selected exposure source.

Table 495 Unit definition for Age alignment method.
Name Accepted names Description

Fit to closest available age

FitClosest

Fit to closest available age.

User defined bins (in years)

AgeBins

User defined bins.

Air body exposure fraction uncertainty distribution types.

Air body exposure fraction uncertainty distribution types.

Table 496 Unit definition for Air body exposure fraction uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Air concentration distribution types.

Air concentration distribution types.

Table 497 Unit definition for Air concentration distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Air concentration unit

Accepted units for substance concentration volumes.

Table 498 Unit definition for Air concentration unit.
Name Accepted names

microgram/cubimeter

ugPerm3, ug/m3, ugram/m3, ugr/m3

microgram/liter

ugPerL, ug/L, ugram/L, ugr/L

Application amount unit

Accepted units for consumer product application amounts.

Table 499 Unit definition for Application amount unit.
Name Accepted names

kilogram

kg, kilograms, kilogr, G167A

gram

g, gram, grams, gr, G148A

milligram

mg, milligrams, milligram

Assessment group membership calculation methods

Accepted Assessment group membership calculation methods.

Table 500 Unit definition for Assessment group membership calculation methods.
Name Accepted names Description

Any (crisp)

CrispMax

Assign the highest membership value as membership. For crisp memberships, assign positive substance membership if any model indicates positive membership, and negative membership otherwise.

Majority (crisp)

CrispMajority

Assign positive substance membership if the majority of the membership models indicates positive membership, otherwise, the substance is considered not to be in the assessment group.

Ratio (probabilistic)

ProbabilisticRatio

Express substance membership as a probability ranging from zero (certainly out) to one (certainly in), computed as the average membership score.

Bayesian (probabilistic)

ProbabilisticBayesian

Express substance memberships as a probability with values ranging from zero (certainly out) to one (certainly in) computed using a Bayesian approach.

Benchmark response type

Accepted benchmark response types.

Table 501 Unit definition for Benchmark response type.
Name Accepted names Description

Fraction change

FractionChange, FactorChange

The benchmark response is defined as a fraction change of the background response (i.e., defined for both increase and decrease). E.g., for a factor of 0.1, the benchmark response is at +/- 10% of background response.

Percentage change

PercentageChange

The benchmark response is defined as a percentage change of the background response (i.e., defined for both increase and decrease). E.g., for a percentage of 10, the benchmark response is at +/- 10% of background response.

Fraction of background response

Factor, Fraction, FactorOfBackground

The benchmark response is defined as a fraction of the background response. E.g., for a factor of 0.9, the benchmark response is at 0.9 times the background response (i.e., a decrease).

Percentage of background response

Percentage, PercentageOfBackground

The benchmark response is defined as a percentage of the background response. E.g., for a percentage of 90, the benchmark response is at 90% of the background response (i.e., a decrease).

Extra risk

ExtraRisk

For quantal response types. The benchmark dose is defined as the dose that corresponding with an extra risk of a factor times the background risk. A factor of 0.05 corresponds with 5% extra risk.

Additional risk

AdditionalRisk

For quantal response types. The benchmark dose is defined as the dose that corresponding with an additional risk of a factor times the background risk. A factor of 0.05 corresponds with 5% additional risk.

ED50

ED50, Ed50

For quantal response types. The benchmark dose is defined as the dose that corresponds with an estimated risk of 50% (ED50).

Absolute threshold value

Absolute

The benchmark dose is defined as an absolute threshold value.

Absolute difference

Difference

The benchmark dose is defined an absolute difference with the background risk.

Biological matrix

Accepted types of biological matrices.

Table 502 Unit definition for Biological matrix.
Name Accepted names Description

Whole body

WholeBody, Body, Whole body, CTotal

Use whole body when the results apply to the whole body.

Blood

Blood, Whole blood, WholeBlood, Full blood, FullBlood, BWB, CPlasmaOut

The complete blood from a standard blood donation.

Blood serum

BloodSerum, Serum, Blood serum, BS

The portion of blood plasma that excludes clotting factors.

Blood plasma

BloodPlasma, Plasma, Blood plasma, O_CP, BP

The liquid component of blood, in which erythrocytes are suspended.

Cord blood

CordBlood, Cord blood, CBWB

Blood that remains in the placenta and in the attached umbilical cord after childbirth.

Cord blood serum

CordBloodSerum, Cord blood serum, CBS

The portion of cord blood plasma that excludes clotting factors.

Cord blood plasma

CordBloodPlasma, Cord blood plasma, CBP

The liquid component of cord blood, in which erythrocytes are suspended.

Venous blood

VenousBlood, Venous blood, O_CV, CVen

The deoxygenated blood which travels from the peripheral blood vessels.

Venous plasma

VenousPlasma

Plasma of the deoxygenated blood which travels from the peripheral blood vessels.

Arterial blood

ArterialBlood, Arterial blood, CArt, O_CA

The oxygenated blood in the circulatory system found in the pulmonary vein.

Arterial plasma

ArterialPlasma

Plasma of the oxygenated blood in the circulatory system found in the pulmonary vein.

Brain blood

BrainBlood, Brain blood, O_CBrb

The blood present in the brain.

Urine

Urine, AurinebpaOut, AurinegOut, AurineTotalOut

A non-invasive matrix definition for urine.

Excreta

Excreta

Human waste (i.e., both urine and feces).

Saliva

Saliva

The extracellular fluid produced and secreted by salivary glands in the mouth.

Semen

Semen

The fluid that is emitted from the male reproductive tract and that contains sperm cells.

Breath

Breath

The condensate of exhaled breath.

Red blood cells

RedBloodCells

The red blood cells.

Breast milk

BreastMilk

The human milk as a biological system.

Fat (adipose) tissue

BodyFat, AdiposeTissue, Adipose Tissue, Body fat, FatTissue, Fat, CFat, O_CF

Adipose tissue, body fat, or simply fat is the main reservoir of fat in the body beneath the skin.

Hair

Hair

The human hair as a non-invasive matrix for biomarkers of exposure.

Toenails

ToeNails

The layer of cells situated at the base of the fingernail or the toenail.

Big toenails

BigToeNails

The layer of cells situated at the base of the big fingernail or the big toenail.

Outer skin

OuterSkin

The extracellular connective tissue matrix of the skin.

Amniotic fluid

AmnioticFluid

The amniotic fluid is the protective liquid contained by the amniotic sac, serves as a cushion for the growing fetus.

Placenta tissue

PlacentaTissue, Placenta

The tissues which support fetal development.

Uterus tissue

UterusTissue, O_CU

The uterus or womb is the organ in the reproductive system that accommodates the fetal development until birth.

Uterus

Uterus

The uterus or womb (organ) as biological matrix.

Liver

Liver, CLiver, O_CL

The liver as biological matrix.

Muscle tissue

MuscleTissue, Muscle, Muscles, CPoor, O_CM

Perfused (muscle) tissue.

Viscera tissue

Viscera, CRich

Perfused tissue of the viscera, the soft internal organs of the body, especially the intestines.

Skin

Skin

Skin of the body.

Viable epidermis exposed skin

ViableEpidermisExposedSkin, SkinViableExposed, ViableSkinExposed, CSkin_e

Viable epidermis of skin exposed to air.

Viable epidermis unexposed skin

ViableEpidermisUnexposedSkin, SkinViableUnexposed, ViableSkinUnexposed, CSkin_u

Viable epidermis of skin not exposed to air.

Stratum corneum of exposed skin

StratumCorneumExposedSkin, StratumCorneumExposed, CSkin_sc_e

The outermost layer of the epidermis, exposed to the open air.

Stratum corneum of unexposed skin

StratumCorneumUnexposedSkin, StratumCorneumUnexposed, CSkin_sc_u

The outermost layer of the epidermis, not exposed to the open air.

Kidney

Kidney, Kidneys

The kidney organ as biological matix.

Adrenal gland

Adrenal, Adrenal gland, Adrenal glands

The adrenal gland as biological matix.

Thyroid gland

Thyroid, Thyroid gland

The thyroid gland as biological matix.

Heart

Heart, O_CH

The heart as biological matix.

Lung

Lung, Lungs, O_CLu

The lung as biological matix.

Brain tissue

BrainTissue

Brain tissue.

Brain

Brain

The brain (organ) as biological matix.

Eyes

Eyes, Eye, Ocular

The eyes as biological matix.

Gonad tissue

Gonad, Gonads, GonadTissue, CGonadOut, O_CBr

The biological matrix of the reproductive system that produces and releases eggs (ovary) or sperm (testicle/testis).

Slowly perfused tissue

SlowlyPerfusedTissue, PoorlyPerfusedTissue, Slowly perfused tissue, O_CS

The biological matrix of poorly perfused tissue include skin and subcutaneous tissue, and resting muscle.

Richly perfused tissue

RichlyPerfusedTissue, Richly perfused tissue, O_CR

The biological matrix of richly perfused tissue include liver, heart, lungs, kidneys, and brain.

Feces

Feces, Excrement, Poop

Bodily waste discharged through the anus.

Air

Air

Inhaled or alveolar air.

Biological organisation type

Accepted biological organisation types.

Table 503 Unit definition for Biological organisation type.
Name Accepted names Description

Molecular

Molecular

Molecular level

Cellular

Cellular

Cellular level

Tissue

Tissue

Tissue level

Organ

Organ, Organelle

Organ level

Individual

Individual

Whole body level

Population

Population

Population level

Biomarker conversion distribution type

Biomarker conversion distribution types.

Table 504 Unit definition for Biomarker conversion distribution type.
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and upper p95 percentile.

Uniform

Uniform

Uniform distribution specified by a mean/median and an upper boundary.

Beta

Beta

Beta distribution parameterised by a mean and a variance.

BoD Indicator

Different metrics in which burden of disease can be expressed.

Table 505 Unit definition for BoD Indicator.
Name Accepted names Description

DALY

DALY, DALYs

Disability-adjusted life year.

Deaths

Deaths

Number of deaths.

Cases

Cases

Number of cases.

Costs

Costs

Costs.

Prevalence

Prevalence, Prevalences

Prevalence.

Body weight unit

Accepted units for person body weights.

Table 506 Unit definition for Body weight unit.
Name Accepted names

kilogram

kg, kilograms, kilogr, 3, G167A

gram

g, grams, gr, 0, G148A

Boolean type

Accepted boolean types.

Table 507 Unit definition for Boolean type.
Name Accepted names

True

True, Yes, T, Y

False

False, F, No, N

Burden of disease approach

Methodologial approach used for estimating the burden of disease attributable to a chemical exposure.

Table 508 Unit definition for Burden of disease approach.
Name Accepted names Description

Top-down

TopDown

Top-down approach starting with an estimate of the total burden in the population. A population attributable fraction (PAF) is calculated by applying an exposure response function (ERF) along with observed exposures, thereby estimating the proportion of the overall burden attributable to the chemical exposure. The attributable burden follows from multiplication of the total burden by the PAF.

Bottom-up

BottomUp

Bottom-up approach starting either by estimating the number of new or excess cases based on observed exposures and the exposure response function (ERF), or by evaluating the expected shift in individual responses (e.g. changes in IQ) resulting from exposure. These are translated into a burden measure – often by multiplying by factors such as duration and disability weight (or a monetary value) to calculate the attributable BoD for indicators like DALYs.

Burden of disease indicator uncertainty distribution types.

Burden of disease indicator uncertainty distribution types.

Table 509 Unit definition for Burden of disease indicator uncertainty distribution types..
Name Accepted names Description

Normal

Normal

Normal distribution parameterised by a mean and upper p95 percentile.

LogNormal

LogNormal

LogNormal distribution parameterised by a mean and upper p95 percentile.

Triangular

Triangular

Triangular distribution specified by a mode and a lower and upper boundary.

Case control types.

Case control types.

Table 510 Unit definition for Case control types..
Name Accepted names Description

Control

Control

Control.

Case

Case

Case.

Cluster method type

Accepted cluster method types.

Table 511 Unit definition for Cluster method type.
Name Accepted names Description

Component selection (SNMU)

NoClustering

Only component selection is performed.

Component selection and population subgrouping (SNMU + k-means clustering)

Kmeans

Component selection followed by K-Means clustering of individuals based on their component exposure. K-means classifies individuals in multiple groups (i.e., clusters), such that individuals within the same cluster are as similar as possible (i.e., high intra-class similarity), whereas individuals from different clusters are as dissimilar as possible (i.e., low inter-class similarity). In k-means clustering, each cluster is represented by its center (i.e, centroid) which corresponds to the mean of points assigned to the cluster.

Component selection and population subgrouping (SNMU + hierarchical clustering)

Hierarchical

Component selection followed by hierarchical (Ward’s) clustering of individuals based on their component exposure. Hierachical clustering builds a hierarchy from the bottom-up, and doesn’t require to specify the number of clusters beforehand. Hierarchical clustering produces a tree-based representation of the observations known as a dendrogram.

Combination method membership info and PoD presence types

Accepted Combination method membership info and PoD presence types.

Table 512 Unit definition for Combination method membership info and PoD presence types.
Name Accepted names Description

Consider active if POD/HC AND (in-silico) memberships indicate active

Intersection

Consider active if POD/HC AND (in-silico) memberships indicate active.

Consider active if POD/HC OR (in-silico) memberships indicates active

Union

Consider active if POD/HC OR (in-silico) memberships indicates active.

Concentration limit value type

Accepted concentration limit value types.

Table 513 Unit definition for Concentration limit value type.
Name Accepted names

Maximum residue limit

MaximumResidueLimit, MRL

Proposed maximum residue limit

ProposedMaximumResidueLimit, ProposedMrl

Concentration model types

Accepted Concentration model types.

Table 514 Unit definition for Concentration model types.
Name Accepted names Description

Empirical

Empirical

Residues are sampled from the empirical distribution. Fallback: zero.

Censored value Spike LogNormal

NonDetectSpikeLogNormal

A lognormal model (logarithmic transformed values, with parameters mu and sigma^2) is fitted to the positive residues values. LOR information is not used. Fallback (if number of positives less than 2): Empirical, but Maximum Residu Limit for pessimistic assessments.

Censored Spike Truncated LogNormal

NonDetectSpikeTruncatedLogNormal

A truncated lognormal model (with parameters mu and sigma^2) is fitted to the positive residues values. The LOR is used to estimate the truncated left tail of the distribution. Fallback: Lognormal non-detect spike.

Censored LogNormal

CensoredLogNormal

Advanced. A censored lognormal model (with parameters mu and sigma^2) is fitted to the censored and positives residue values. Note, this model is not available when agricultural use information is used. Fallback: Lognormal non-detect spike.

Zero Spike Censored LogNormal

ZeroSpikeCensoredLogNormal

Advanced. A mixture model with zero spike (p0) and censored lognormal model (with parameters mu and sigma^2) is fitted to the censored and positives residue values. Note, this model is not available when agricultural use information is used. Fallback: Censored lognormal.

Censored Spike Maximum Residue Limit

MaximumResidueLimit

Censored Spike Maximum Residue Limit.

Summary statistics

SummaryStatistics

Summary statistics.

LogNormal

LogNormal

Lognormal model.

Constant

Constant

A degenerate propability distribution with a single possible value.

Concentration unit

Accepted units for substance concentrations.

Table 515 Unit definition for Concentration unit.
Name Accepted names

milligram/kilogram

mgPerKg, mg/kg, milligram/kilogram, milligram/kg, milligr/kg, -6, G049A, G061A

kilogram/kilogram

kgPerKg, kg/kg, kilogram/kilogram, kilogram/kg, 0, G063A

gram/kilogram

gPerKg, g/kg, gram/kilogram, gram/kg, gr/kg, -3, G015A, G060A, G191A

microgram/kilogram

ugPerKg, µg/kg, ug/kg, microgram/kilogram, microgram/kg, microgr/kg, -9, G050A, G076A

nanogram/kilogram

ngPerKg, ng/kg, nanogram/kilogram, nanogram/kg, nanogr/kg, -12, G077A, G080A

picogram/kilogram

pgPerKg, pg/kg, picogram/kilogram, picogram/kg, picogr/kg, -15, G081A

kilogram/liter

kgPerL, kg/l, kg/L, kilogram/liter, kilogram/litre, G017A

gram/liter

gPerL, g/l, g/L, gram/liter, gram/litre, gr/l, gr/L, G016A

milligram/liter

mgPerL, mg/l, mg/L, milligram/liter, milligram/litre, milligr/l, milligr/L, G052A, G062A

microgram/liter

ugPerL, µg/l, ug/L, microgram/liter, microgram/litre, microgr/l, microgr/L, G051A, G079A

nanogram/liter

ngPerL, ng/l, ng/L, nanogram/liter, nanogram/litre, nanogr/l, nanogr/L, G078A

picogram/liter

pgPerL, pg/l, pg/L, picogram/liter, picogram/litre, picogr/l, picogr/L

microgram/milliliter

ugPermL, µg/ml, ug/mL, microgram/milliliter, microgram/millilitre, microgr/ml, microgr/mL

nanogram/milliliter

ngPermL, ng/ml, ng/mL, nanogram/milliliter, nanogram/millilitre, nanogr/ml, nanogr/mL

milligram/deciliter

mgPerdL, mg/dl, milligram/deciliter, milligr/dL, milligr/dl

microgram/gram

ugPerg, µg/g, µgram/gram, µg/gr, ug/g, ugram/gram, ug/gr

nanogram/gram

ngPerg, ng/g, ngram/gram, ngr/gr

Concentration value type

Accepted concentration value type.

Table 516 Unit definition for Concentration value type.
Name Accepted names Description

Mean concentration

MeanConcentration, ConcentrationMean, MC

Mean value from the residue trials.

Median concentration

MedianConcentration, MR, STMR, SupervisedTrialMedianResidue

Median concentration / residue value of the positive measurements of the residue trials.

Highest concentration

HighestConcentration, HighestResidue, HR

Highest measured residue / concentration value.

Concentration percentile

Percentile

Limit of quantification

LOQ

Maximum residue limit

MRL

Consumer product application amount distribution types.

Consumer product application amount uncertainty distribution types.

Table 517 Unit definition for Consumer product application amount distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Consumer product concentration uncertainty distribution types.

Consumer product concentration uncertainty distribution types.

Table 518 Unit definition for Consumer product concentration uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Consumer product concentration unit

Accepted units for substance concentrations in consumer products.

Table 519 Unit definition for Consumer product concentration unit.
Name Accepted names

microgram/gram

ugPerg, µg/g, µgram/gram, µg/gr, ug/g, ugram/gram, ug/gr

nanogram/gram

ngPerg, ng/g, ngram/gram, ngr/gr

gram/kilogram

gPerKg, g/kg, gram/kilogram, gram/kg, gr/kg, -3, G015A, G060A, G191A

milligram/kilogram

mgPerKg, mg/kg, milligram/kilogram, milligram/kg, milligr/kg, -6, G049A, G061A

microgram/kilogram

ugPerKg, µg/kg, ug/kg, microgram/kilogram, microgram/kg, microgr/kg, -9, G050A, G076A

nanogram/kilogram

ngPerKg, ng/kg, nanogram/kilogram, nanogram/kg, nanogr/kg, -12, G077A, G080A

picogram/kilogram

pgPerKg, pg/kg, picogram/kilogram, picogram/kg, picogr/kg, -15, G081A

gram/liter

gPerL, g/l, g/L, gram/liter, gram/litre, gr/l, gr/L, G016A

milligram/liter

mgPerL, mg/l, mg/L, milligram/liter, milligram/litre, milligr/l, milligr/L, G052A, G062A

microgram/liter

ugPerL, µg/l, ug/L, microgram/liter, microgram/litre, microgr/l, microgr/L, G051A, G079A

nanogram/liter

ngPerL, ng/l, ng/L, nanogram/liter, nanogram/litre, nanogr/l, nanogr/L, G078A

picogram/liter

pgPerL, pg/l, pg/L, picogram/liter, picogram/litre, picogr/l, picogr/L

microgram/milliliter

ugPermL, µg/ml, ug/mL, microgram/milliliter, microgram/millilitre, microgr/ml, microgr/mL

nanogram/milliliter

ngPermL, ng/ml, ng/mL, nanogram/milliliter, nanogram/millilitre, nanogr/ml, nanogr/mL

milligram/deciliter

mgPerdL, mg/dl, milligram/deciliter, milligr/dL, milligr/dl

gram per unit

gPerUnit, g/unit, gram/unit, gr/unit, g, gram, gr

milligram per unit

mgPerUnit, mg/unit, milligram/unit, milligr/unit, mg, milligram, milligr

microgram per unit

ugPerUnit, µg/unit, ug/unit, microgram/unit, microgr/unit, µg, ug, microgram, microgr

nanogram per unit

ngPerUnit, ng/unit, ngram/unit, ngr/unit, ng, ngram, ngr

Consumption intake unit

Accepted units for consumption intake amounts.

Table 520 Unit definition for Consumption intake unit.
Name Accepted names

gram/kilogram bodyweight/day

gPerKgBWPerDay, g/kg bw, gram/kg bw, g/kg bw/day, gram/kg bw/day, gr/kg bw/day, G212A

gram/day

gPerDay, gram, grams, g/day, gram/day, gr/day

Consumption unit

Accepted units for consumption amounts.

Table 521 Unit definition for Consumption unit.
Name Accepted names

kilogram

kg, kilograms, kilogr, 3, G167A

gram

g, grams, gr, 0, G148A

Consumption value type

Accepted consumption value types.

Table 522 Unit definition for Consumption value type.
Name Accepted names

Large portion

LargePortion, LP

Mean consumption

MeanConsumption, MC

Percentile

Percentile, P

Counter factual value uncertainty distribution types.

Counter factual value uncertainty distribution types.

Table 523 Unit definition for Counter factual value uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and upper p95 percentile.

Uniform

Uniform

Uniform distribution specified by a mean/median and an upper boundary.

Triangular

Triangular

Triangular distribution specified by a mode and a lower and upper boundary.

Covariate model types

Accepted Covariate model types.

Table 524 Unit definition for Covariate model types.
Name Accepted names Description

Only constant

Constant

No relation between exposure and e.g. age or gender.

Only covariable

Covariable

Exposure depends on the covariable, e.g. age.

Only cofactor

Cofactor

Exposure depends on the level of the cofactor, e.g. gender.

Both covariable and cofactor

CovariableCofactor

Exposure depends on both covariable and cofactor (additive model).

Both covariable and cofactor and interaction

CovariableCofactorInteraction

Exposure depends on both covariable and cofactor and the effect of the covariable differs for different levels of the cofactor (multiplicative model).

Dietary exposures details level types

Accepted ietary exposures details level types.

Table 525 Unit definition for Dietary exposures details level types.
Name Accepted names Description

Full

Full

Show all details.

Restrict to risk-drivers (dietary exposures screening)

OnlyRiskDrivers

Restrict to detailed output for risk-drivers identified by dietary exposures screening.

Omit foods-as-eaten details

OmitFoodsAsEaten

Restrict to detailed output for modelled foods and substances. Omit foods-as-eaten details.

Dose response model type

Accepted dose response model types.

Table 526 Unit definition for Dose response model type.
Name Accepted names Description

Exp-m1

Expm1

Exponential model 1

Exp-m2

Expm2

Exponential model 2

Exp-m3

Expm3

Exponential model 3

Exp-m4

Expm4

Exponential model 4

Exp-m5

Expm5

Exponential model 5

Hill-m1

Hillm1

Hill model 1

Hill-m2

Hillm2

Hill model 2

Hill-m3

Hillm3

Hill model 3

Hill-m4

Hillm4

Hill model 4

Hill-m5

Hillm5

Hill model 5

TwoStage

TwoStage

LogLogist

LogLogist

Weibull

Weibull

LogProb

LogProb

Gamma

Gamma

Logistic

Logistic

Probit

Probit

LVM Exp m2

LVM_Exp_M2, LVM Exp m2

LVM Exp m3

LVM_Exp_M3, LVM Exp M3

LVM Exp m4

LVM_Exp_M4, LVM Exp M4

LVM Exp m5

LVM_Exp_M5, LVM Exp M5

LVM Hill m2

LVM_Hill_M2, LVM Hill m2

LVM Hill m3

LVM_Hill_M3, LVM Hill M3

LVM Hill m4

LVM_Hill_M4, LVM Hill M4

LVM Hill m5

LVM_Hill_M5, LVM Hill m5

Dose unit

Accepted units for substance doses.

Table 527 Unit definition for Dose unit.
Name Accepted names

gram/kilogram bodyweight/day

gPerKgBWPerDay, g/kg bw/day, g/kg/day, gram/kg bw/day, gram/kg/day, gr/kg bw/day, G212A

milligram/kilogram bodyweight/day

mgPerKgBWPerDay, mg/kg bw/day, mg/kg/day, milligram/kg bw/day, milligr/kg bw/day, G211A

microgram/kilogram bodyweight/day

ugPerKgBWPerDay, µg/kg bw/day, µg/kg/day, microgram/kg bw/day, microgram/kg/day, microgr/kg bw/day, microgr/kg/day, G210A

nanogram/kilogram bodyweight/day

ngPerKgBWPerDay, ng/kg bw/day, ng/kg/day, nanogram/kg bw/day, nanogram/kg/day, nanogr/kg bw/day, nanogr/kg/day, G214A

picogram/kilogram bodyweight/day

pgPerKgBWPerDay, pg/kg bw/day, pg/kg/day, picogram/kg bw/day, picogram/kg/day, picogr/kg bw/day, picogr/kg/day

femtogram/kilogram bodyweight/day

fgPerKgBWPerDay, fg/kg bw/day, fg/kg/day, femtogram/kg bw/day, femtogram/kg/day, femtogr/kg bw/day, femtogr/kg/day

gram/gram bodyweight/day

gPerGBWPerDay, g/g bw/day, g/g/day, gram/g bw/day, gram/g/day, gr/g bw/day, gr/g/day

milligram/gram bodyweight/day

mgPerGBWPerDay, mg/g bw/day, mg/g/day, milligram/g bw/day, milligram/g/day, milligr/g bw/day, milligr/g/day

microgram/gram bodyweight/day

ugPerGBWPerDay, µg/g bw/day, µg/g/day, microgram/g bw/day, microgram/g/day, microgr/g bw/day, microgr/g/day

nanogram/gram bodyweight/day

ngPerGBWPerDay, ng/g bw/day, ng/g/day, nanogram/g bw/day, nanogram/g/day, nanogr/g bw/day, nanogr/g/day

picogram/gram bodyweight/day

pgPerGBWPerDay, pg/g bw/day, pg/g/day, picogram/g bw/day, picogram/g/day, picogr/g bw/day, picogr/g/day

femtogram/gram bodyweight/day

fgPerGBWPerDay, fg/g bw/day, fg/g/day, femtogram/g bw/day, femtogram/g/day, femtogr/g bw/day, femtogr/g/day

kilogram/day

kgPerDay, kg/day, kilogram/day, kilogr/day

gram/day

gPerDay, g/day, gram/day, gr/day

milligram/day

mgPerDay, mg/day, milligram/day, milligr/day

microgram/day

ugPerDay, µg/day, microgram/day, microgr/day

nanogram/day

ngPerDay, ng/day, nanogram/day, nanogr/day

picogram/day

pgPerDay, pg/day, picogram/day, picogr/day

femtogram/day

fgPerDay, fg/day, femtogram/day, femtogr/day

kilogram/kilogram

kgPerKg, kg/kg, kilogram/kilogram, kilogram/kg, kg/kg bw

gram/kilogram

gPerKg, g/kg, gram/kilogram, gram/kg, gr/kg, g/kg bw

milligram/kilogram

mgPerKg, mg/kg, milligram/kilogram, milligram/kg, milligr/kg, mg/kg bw, G225A

microgram/kilogram

ugPerKg, µg/kg, microgram/kilogram, microgram/kg, microgr/kg, µg/kg bw

nanogram/kilogram

ngPerKg, ng/kg, nanogram/kilogram, nanogram/kg, nanogr/kg, ng/kg bw

picogram/kilogram

pgPerKg, pg/kg, picogram/kilogram, picogram/kg, picogr/kg, pg/kg bw

molar

M, mol/L

millimolar

mM, mmol/L

micromolar

uM, µM, umol/L

nanomolar

nM, nmol/L

moles

moles, Moles

millimoles

mmoles, mMoles

micromoles

umoles, uMoles

nanomoles

nmoles, nmol, nMoles

gram/kilogram bodyweight/week

gPerKgBWPerWeek, g/kg bw/week, gram/kg bw/week, gr/kg bw/week, G218A

milligram/kilogram bodyweight/week

mgPerKgBWPerWeek, mg/kg bw/week, milligram/kg bw/week, milligr/kg bw/week, G217A

microgram/kilogram bodyweight/week

ugPerKgBWPerWeek, µg/kg bw/week, microgram/kg bw/week, microgr/kg bw/week, G216A

nanogram/kilogram bodyweight/week

ngPerKgBWPerWeek, ng/kg bw/week, nanogram/kg bw/week, nanogr/kg bw/week, G215A

picogram/kilogram bodyweight/week

pgPerKgBWPerWeek, pg/kg bw/week, picogram/kg bw/week, picogr/kg bw/week

femtogram/kilogram bodyweight/week

fgPerKgBWPerWeek, fg/kg bw/week, femtogram/kg bw/week, femtogr/kg bw/week

gram/gram bodyweight/week

gPerGBWPerWeek, g/g bw/week, gram/g bw/week, gr/g bw/week

milligram/gram bodyweight/week

mgPerGBWPerWeek, mg/g bw/week, milligram/g bw/week, milligr/g bw/week

microgram/gram bodyweight/week

ugPerGBWPerWeek, µg/g bw/week, microgram/g bw/week, microgr/g bw/week

nanogram/gram bodyweight/week

ngPerGBWPerWeek, ng/g bw/week, nanogram/g bw/week, nanogr/g bw/week

picogram/gram bodyweight/week

pgPerGBWPerWeek, pg/g bw/week, picogram/g bw/week, picogr/g bw/week

femtogram/gram bodyweight/week

fgPerGBWPerWeek, fg/g bw/week, femtogram/g bw/week, femtogr/g bw/week

kilogram/week

kgPerWeek, kg/week, kilogram/week, kilogr/week

gram/week

gPerWeek, g/week, gram/week, gr/week

milligram/week

mgPerWeek, mg/week, milligram/week, milligr/week

microgram/week

ugPerWeek, µg/week, microgram/week, microgr/week

nanogram/week

ngPerWeek, ng/week, nanogram/week, nanogr/week

picogram/week

pgPerWeek, pg/week, picogram/week, picogr/week

femtogram/week

fgPerWeek, fg/week, femtogram/week, femtogr/week

kilogram/liter

kgPerL, kg/l, kg/L, kilogram/liter, kilogram/litre, G017A

gram/liter

gPerL, g/l, g/L, gram/liter, gram/litre, gr/l, gr/L, G016A

milligram/liter

mgPerL, mg/l, mg/L, milligram/liter, milligram/litre, milligr/l, milligr/L, G052A, G062A

microgram/liter

ugPerL, µg/l, ug/L, microgram/liter, microgram/litre, microgr/l, microgr/L, G051A, G079A

nanogram/liter

ngPerL, ng/l, ng/L, nanogram/liter, nanogram/litre, nanogr/l, nanogr/L, G078A

picogram/liter

pgPerL, pg/l, pg/L, picogram/liter, picogram/litre, picogr/l, picogr/L

milligram/gram

mgPerg, mg/g, milligram/gram

microgram/gram

ugPerg, µg/g, microgram/gram

nanogram/gram

ngPerg, ng/g, nanogram/gram

picogram/gram

pgPerg, pg/g, picogram/gram

Dust adherence amount uncertainty distribution types.

Dust adherence amount uncertainty distribution types.

Table 528 Unit definition for Dust adherence amount uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Dust availability fraction uncertainty distribution types.

Dust availability fraction uncertainty distribution types.

Table 529 Unit definition for Dust availability fraction uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Dust body exposure fraction uncertainty distribution types.

Dust body exposure fraction uncertainty distribution types.

Table 530 Unit definition for Dust body exposure fraction uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Dust concentration uncertainty distribution types.

Dust concentration uncertainty distribution types.

Table 531 Unit definition for Dust concentration uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Dustingestion uncertainty distribution types.

Dust ingestion uncertainty distribution types.

Table 532 Unit definition for Dustingestion uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Effect metric

Accepted types of effect metrics.

Table 533 Unit definition for Effect metric.
Name Accepted names Description

Relative risk

RelativeRisk, Relative, RR, Relative Risk

Use relative risk when the risk is expressed as a relative risk.

Odds ratio

OddsRatio, Odds, OR, Odds Ratio

Use odds ratio when the risk is expressed as an odds ratio.

Negative shift

NegativeShift, Negative Shift

Use negative shift when the risk is expressed as a negative shift in a continuous variable.

Positive shift

PositiveShift, Positive Shift

Use positive shift when the risk is expressed as a positive shift in a continuous variable.

Environmental burden of disease standardisation method

Accepted environmental burden of disease standardisation types.

Table 534 Unit definition for Environmental burden of disease standardisation method.
Name Accepted names Description

per 10,000

PER10K

EBD standardised per 10,000.

per 100,000

PER100K

EBD standardised per 100,000.

per 1,000,000

PER1M

EBD standardised per 1,000,000.

Estimates nature types

Accepted Estimates nature types.

Table 535 Unit definition for Estimates nature types.
Name Accepted names Description

Realistic

Realistic

For lognormal: no censoring at the value of the composite sample concentration, no upper limit to the unit concentration. For Beta: no censoring at the value of the composite sample concentration, unit values are never higher than the number of units in composite sample * value of composite sample concentration.

Conservative

Conservative

For lognormal: unit values will be left-censored at the value of the composite sample concentration, no upper limit to the unit concentration. For Beta: unit values will be left-censored at the value of the value of composite sample concentration, unit are values never higher than the number of units in composite sample * value of composite sample concentration.

Exposure approach method

Accepted Exposure approach method types.

Table 536 Unit definition for Exposure approach method.
Name Accepted names Description

Modelled exposures

Modelled

A parametric model is fitted to the data.

Measured exposures

Measured

Data are taken as such.

Exposure approach types

Accepted Exposure approach types.

Table 537 Unit definition for Exposure approach types.
Name Accepted names Description

Risk based (RPFs)

RiskBased

Exposures are multiplied by the RPF and thus exposures to different substances are on the same and comparable scale.

Standardised

ExposureBased

All substances are standardised to equal variance (selection of the components will work on patterns of correlation only).

Unstandardised (RPFs = 1)

UnweightedExposures

Exposures as such are taken (unstandardised). This is equivalent to RPFs equal to 1. Thus exposures to different substances are not on the same and comparable scale anymore.

Exposure calculation method

Method types for obtaining exposure estimates.

Table 538 Unit definition for Exposure calculation method.
Name Accepted names Description

Modelled exposures

ModelledConcentration

Compute risks from dietary and/or non-dietary routes, aggregated.

Human biomonitoring concentrations

MonitoringConcentration

Compute risks based on exposure estimates obtained from human biomonitoring concentrations.

Exposure events and dose generation

Exposure events generation methods for PBK model simulations.

Table 539 Unit definition for Exposure events and dose generation.
Name Accepted names Description

Use usual (average) exposures per route

DailyAverageEvents

Use usual (average) exposures per route, only one event per day.

Use (randomly selected) daily exposures per route

RandomDailyEvents

Use (randomly selected) daily exposures per route and specify events.

Exposure grouping method

Method used for grouping exposures in bins.

Table 540 Unit definition for Exposure grouping method.
Name Accepted names Description

Custom bins

CustomBins

Define custom bins by providing bin boundaries.

ERF-defined bins

ErfDefinedBins

Use bins defined by categories in the exposure response function.

Exposure method types

Accepted Exposure method types.

Table 541 Unit definition for Exposure method types.
Name Accepted names Description

Manual

Manual

Exposure levels are determined by explicit specification.

Automatic

Automatic

Exposure levels are generated automatically based on the estimated exposure distribution.

Exposure path type

Accepted paths of exposure to chemicals. A path is a combination of a route and the class of exposure sources (i.e., dietary or non-dietary).

Table 542 Unit definition for Exposure path type.
Name Accepted names Description

Dietary exposure

Dietary

Dietary exposure.

Oral exposure

Oral

Oral exposure (both from dietary and non-dietary sources).

Dermal exposure

Dermal

Dermal exposure.

Inhalation exposure

Inhalation

Inhalation exposure.

At target

AtTarget

Exposures directly at the target (organ).

Exposure response specification uncertainty distribution types.

Exposure response specification uncertainty distribution types.

Table 543 Unit definition for Exposure response specification uncertainty distribution types..
Name Accepted names Description

Normal

Normal

Normal distribution parameterised by a mean and upper p95 percentile.

LogNormal

LogNormal

LogNormal distribution parameterised by a mean and upper p95 percentile.

Triangular

Triangular

Triangular distribution specified by a mode and a lower and upper boundary.

Uniform

Uniform

Uniform distribution specified by a mean and upper boundary.

Exposure response type

Accepted exposure response types.

Table 544 Unit definition for Exposure response type.
Name Accepted names Description

Function

Function

Exposure response expressed as function.

PerDoubling

PerDoubling, Doubling

Exposure response expressed as increase per doubling of exposure.

PerUnit

PerUnit, Unit

Exposure response expressed as increase per increase of 1 unit of exposure.

Constant

Constant

Exposure response expressed as constant value.

Exposure route

Accepted routes of exposure to chemicals (i.e., oral, dermal, or inhalation).

Table 545 Unit definition for Exposure route.
Name Accepted names Description

Oral

Oral, Dietary

Contact to a chemical via ingestion.

Dermal

Dermal

Exposure via contact between a chemical and the skin.

Inhalation

Inhalation

Exposure via contact between a chemical and the respiratory system.

Exposure source

Accepted types of exposure sources, i.e., the origin of the substance(s) for the purpose of an exposure or risk assessment.

Table 546 Unit definition for Exposure source.
Name Accepted names Description

Diet

Diet

Dietary exposure sources.

Air

Air

Air exposure sources.

Dust

Dust

Dust exposure sources.

Soil

Soil

Soil exposure sources.

Consumer products

ConsumerProducts

Consumer product exposure sources.

Other (non-diet)

OtherNonDiet, Other non-dietary

Other non-dietary exposure sources.

Occupational

Occupational

Occupational exposure sources.

Exposure type

Accepted exposure types.

Table 547 Unit definition for Exposure type.
Name Accepted names Description

Acute

Acute

Acute exposure.

Chronic

Chronic

Chronic exposure.

Expression type

Expression types define the way in which a substance amount may be standardised, or possible other way expressed. For example, a substance in urine may be expressed in terms of a creatinine standardisation.

Table 548 Unit definition for Expression type.
Name Accepted names Description

None

None

No expression type.

Lipids

Lipids

Standardise lipid-soluble substances by total lipid content.

Creatinine

Creatinine

Standardise substance concentrations by creatinine content.

Specific gravity

SpecificGravity, SpecificGravityNormalised, Specific gravity, Specific gravity normalised, SG, SGNormalised, SG normalised

Normalise substance concentrations to specific gravity.

External exposure unit

Accepted units for external exposures.

Table 549 Unit definition for External exposure unit.
Name Accepted names

gram/kilogram bodyweight/day

gPerKgBWPerDay, g/kg bw/day, g/kg/day, gram/kg bw/day, gr/kg bw/day, G212A

milligram/kilogram bodyweight/day

mgPerKgBWPerDay, mg/kg bw/day, mg/kg/day, milligram/kg bw/day, milligr/kg bw/day, G211A

microgram/kilogram bodyweight/day

ugPerKgBWPerDay, µg/kg bw/day, µg/kg/day, microgram/kg bw/day, microgr/kg bw/day, G210A

nanogram/kilogram bodyweight/day

ngPerKgBWPerDay, ng/kg bw/day, ng/kg/day, nanogram/kg bw/day, nanogr/kg bw/day, G214A

picogram/kilogram bodyweight/day

pgPerKgBWPerDay, pg/kg bw/day, picogram/kg bw/day, picogr/kg bw/day

femtogram/kilogram bodyweight/day

fgPerKgBWPerDay, fg/kg bw/day, fg/kg/day, femtogram/kg bw/day, femtogr/kg bw/day

gram/gram bodyweight/day

gPerGBWPerDay, g/g bw/day, g/g/day, gram/g bw/day, gr/g bw/day

milligram/gram bodyweight/day

mgPerGBWPerDay, mg/g bw/day, mg/g/day, milligram/g bw/day, milligr/g bw/day

microgram/gram bodyweight/day

ugPerGBWPerDay, µg/g bw/day, µg/g/day, microgram/g bw/day, microgr/g bw/day

nanogram/gram bodyweight/day

ngPerGBWPerDay, ng/g bw/day, nanogram/g bw/day, nanogr/g bw/day

picogram/gram bodyweight/day

pgPerGBWPerDay, pg/g bw/day, pg/g/day, picogram/g bw/day, picogr/g bw/day

femtogram/gram bodyweight/day

fgPerGBWPerDay, fg/g bw/day, fg/g/day, femtogram/g bw/day, femtogr/g bw/day

kilogram/day

kgPerDay, kg/day, kilogram/day, kilogr/day

gram/day

gPerDay, g/day, gram/day, gr/day, g/d

milligram/day

mgPerDay, mg/day, milligram/day, milligr/day, mg/d

microgram/day

ugPerDay, µg/day, ug/day, microgram/day, microgr/day, µg/d, ug/d

nanogram/day

ngPerDay, ng/day, nanogram/day, nanogr/day, ng/d

picogram/day

pgPerDay, pg/day, picogram/day, picogr/day, pg/d

femtogram/day

fgPerDay, fg/day, femtogram/day, femtogr/day, fg/d

gram/kilogram

gPerKg, g/kg, gram/kg, gr/kg, G015A

milligram/kilogram

mgPerKg, mg/kg, milligram/kg, milligr/kg, G061A

microgram/kilogram

ugPerKg, µg/kg, microgram/kg, microgr/kg, G050A

nanogram/kilogram

ngPerKg, ng/kg, nanogram/kg, nanogr/kg, G077A

picogram/kilogram

pgPerKg, pg/kg, picogram/kg, picogr/kg, G081A

femtogram/kilogram

fgPerKg, fg/kg, femtogram/kg, femtogr/kg

Focal commodity replacement method types

Accepted Focal commodity replacement method types.

Table 550 Unit definition for Focal commodity replacement method types.
Name Accepted names Description

Replace samples with focal commodity samples

ReplaceSamples

Replace all samples of the selected focal commodity/commodities.

Append focal commodity samples

AppendSamples

Add the samples of the focal commodity/commodities to the background concentration data.

Replace measurements of focal food/substance combinations with measurements from focal commodity samples

ReplaceSubstances

Replace the substance concentrations of the background concentrations by substance concentrations from the focal commodity concentration data.

Remove measurements of focal food/substance combinations

MeasurementRemoval

Remove substance measurements for the selected focal food/substance combinations.

Replace measurements of focal food/substance combinations with proposed concentration limit value from data

ReplaceSubstanceConcentrationsByLimitValue

Replace the substance concentrations of the background concentrations with a proposed concentration limit value from data.

Replace measurements of focal food/substance combinations with proposed concentration limit value

ReplaceSubstanceConcentrationsByProposedLimitValue

Replace the substance concentrations of the background concentrations with a proposed concentration limit value (in mg/kg).

Frequency resolution type

Controlled terminology for specification of frequency resolution.

Table 551 Unit definition for Frequency resolution type.
Name Accepted names Description

Per day

PerDay, Day

Frequency specified in times per day.

Per week

PerWeek, Week

Frequency specified in times per week.

Per month

PerMonth, Month

Frequency specified in times per month.

Function types

Accepted Function types.

Table 552 Unit definition for Function types.
Name Accepted names Description

Polynomial

Polynomial

A polynomial regression fits a nonlinear relationship between the value of the independent variable (e.g. age) and the corresponding conditional mean of y (here the exposure). A polynomial with a degree of 0 is simply a constant function; with a degree of 1 is a line; with a degree of 2 is a quadratic; with a degree of 3 is a cubic, and so on.

Spline

Spline

A spline fits a nonlinear relationship between the value of the independent variable (e.g. age) and the corresponding conditional mean of y (here the exposure). A spline with a degree of 0 is simply a constant function; with a degree of 1 is a line; with a degree of 2 is a quadratic; with a degree of 3 is a cubic, and so on.

Hand protection type

Controlled terminology for type of hand protection.

Table 553 Unit definition for Hand protection type.
Name Accepted names Description

None

None

None

Gloves

Gloves

Gloves with unspecified protection level.

Harvest application type

Accepted harvest application types.

Table 554 Unit definition for Harvest application type.
Name Accepted names Description

Pre-harvest application

PreHarvest

Pre-harvest application

Post-harvest application

PostHarvest

Post-harvest application

Hazard characterisation type

Accepted hazard characterisation types.

Table 555 Unit definition for Hazard characterisation type.
Name Accepted names

Benchmark dose

Bmd, BMD

No observed adverse effect level

Noael, NOAEL

Lowest observed adverse effect level

Loael, LOAEL

Acceptable daily intake

Adi, ADI

Acute reference dose

Arfd, ARfD, ARfD (from ADI)

No observed effect level

Noel, NOEL

Tolerable daily intake

Tdi, TDI

Tolerable weekly intake

Twi, TWI

Benchmark dose lower confidence limit of 1%

Bmdl01, BMDL01

Benchmark dose lower confidence limit of 10%

Bmdl10, BMDL10

Human biomonitoring guidance values

Hbmgv, HBMGV

Other

Other

Hazard characterisations calculation method types

Calculation method types for computing hazard characterisations.

Table 556 Unit definition for Hazard characterisations calculation method types.
Name Accepted names Description

Compute from points of departure

InVivoPods

Compute from points of departure.

Compute from dose response models

InVitroBmds

Compute from dose response models.

Combine point of departure from index substance with RPFs from dose response models

CombineInVivoPodInVitroDrms

In-vivo Points of Departures for index substance, others using RPFs from in-vitro dose response models

Hazard dose imputation method types

Accepted Hazard dose imputation method types.

Table 557 Unit definition for Hazard dose imputation method types.
Name Accepted names Description

Munro P5 (TTC approach)

MunroP5

Use the P5 of the Munro NOEL collection.

Munro central value

MunroUnbiased

Use an unbiased nominal value from the Munro NOEL collection; draw randomly from this collection in the uncertainty runs.

Available hazard characterisations distribution P5

HazardDosesP5

Use the P5 of the available points of departure.

Available hazard characterisations distribution central value

HazardDosesUnbiased

Use an unbiased nominal value from the collection of available points of departure; draw randomly from this collection in the uncertainty runs.

Health effect types

Accepted Health effect types.

Table 558 Unit definition for Health effect types.
Name Accepted names Description

Risk

Risk

Health effect is negative (risk).

Benefit

Benefit

Health effect is positive (benefit).

Individual property type

Accepted individual property types.

Table 559 Unit definition for Individual property type.
Name Accepted names Description

Categorical

Categorical

Categorical e.g. blood type A, B, AB, O or region East, West, North, South.

Boolean

Boolean

Boolean e.g. yes, no, true, false. See Boolean types unit definitions.

Numeric

Numeric

Numeric, real numbers.

Nonnegative

Nonnegative

Nonnegative real numbers, positive or zero.

Integer

Integer

Integer, integer numbers.

NonnegativeInteger

NonnegativeInteger

NonnegativeInteger integer numbers, positive or zero.

Month

Month

Month. See Month types unit definitions.

DateTime

DateTime

DateTime, period.

Gender

Gender, Sex

Gender or sex. At present, these terms are used interchangeably when making selections on individual properties. See Gender types unit definitions.

Location

Location

Location, country.

Isced

Isced, Education

ISCED, education level. See Isced types unit definitions.

JobTask

JobTask, WorkTask

Job task. See JobTask types unit definitions.

Individual reference set

Methods for obtaining individuals for calculating air exposures.

Table 560 Unit definition for Individual reference set.
Name Accepted names Description

Use individuals from individuals module

Simulate

Use individuals from individuals module.

Use individuals from dietary exposures

UseDietaryExposures

Use individuals from dietary exposures module.

Individual reference set

Methods for obtaining individuals for calculating dust exposures.

Table 561 Unit definition for Individual reference set.
Name Accepted names Description

Use from individuals module

Simulate

Use individuals from individuals module.

Use individuals from dietary exposures module

UseDietaryExposures

Use individuals from dietary exposures module.

Individual reference set

Methods for obtaining individuals for calculating soil exposures.

Table 562 Unit definition for Individual reference set.
Name Accepted names Description

Use individuals from individuals module

Simulate

Use individuals from individuals module.

Use individuals from dietary exposures

UseDietaryExposures

Use individuals from dietary exposures module.

Individual subset types

Methods for selecting/matching survey individuals with a specified/scoped population.

Table 563 Unit definition for Individual subset types.
Name Accepted names Description

Match individuals selection to population definition

MatchToPopulationDefinition

Match individuals selection to population definition.

Ignore population definition (use all individuals in survey)

IgnorePopulationDefinition

Ignore population definition (use all individuals in survey).

Match individuals selection to population definition using selected properties only

MatchToPopulationDefinitionUsingSelectedProperties

Match individuals selection to population definition using selected properties only.

Intake model types

Accepted Intake model types.

Table 564 Unit definition for Intake model types.
Name Accepted names Description

Observed Individual Means

OIM

Observed Individual Means: just the empirical means over the observed days.

BetaBinomial Normal

BBN

BetaBinomial distribution for frequency of exposure + (transformed) Normal distribution for amounts (de Boer et al. 2009).

Logistic-Normal Normal

LNN0

Logistic-Normal distribution for frequency of exposure + (transformed) Normal distribution for amounts.

Logistic-Normal Normal with correlation

LNN

Logistic-Normal distribution for frequency of exposure + (transformed) Normal distribution for amounts. Both models are estimated taking into account the correlation between exposure frequency and amounts.

Iowa State University Foods model

ISUF

Iowa State University Foods model: semiparametric distribution for frequency of exposure + (transformed) Normal distribution for amounts (de Boer et al. 2009, Dodd (1996)).

Internal model type

Methods for translating between different (internal/external) exposure targets.

Table 565 Unit definition for Internal model type.
Name Accepted names Description

Use kinetic conversion factors

ConversionFactorModel, ConversionFactor

Use (low-tier) kinetic conversion factor models.

Use PBK models with fallback on kinetic conversion factors

PBKModel, PBK

Use (high-tier) PBK models with fallback on (low-tier) kinetic conversion factors.

Use PBK models

PBKModelOnly, PBKOnly

Use (high-tier) PBK models.

Isced type

Accepted International Standard Classification of Education (ISCED) types.

Table 566 Unit definition for Isced type.
Name Accepted names Description

EarlyChildhoodEducation

ECE, EarlyChildhoodEducation

Early childhood education

PrimaryEducation

PE, PrimaryEducation

Primary education

LowerSecondaryEducation

LSE, LowerSecondaryEducation

Lower secondary education

UpperSecondaryEducation

USE, UpperSecondaryEducation

Upper secondary education

PostSecondaryNonTertiaryEducation

PSNTE, PostSecondaryNonTertiaryEducation

Post-secondary non-tertiary education

ShortCycleTertiaryEducation

SCTE, ShortCycleTertiaryEducation

Short-cycle tertiary education

BachelorsOrEquivalentLevel

BOEL, BachelorsOrEquivalentLevel

Bachelor’s or equivalent level

MastersOrEquivalentLevel

MOEL, MastersOrEquivalentLevel

Master’s or equivalent level

DocteralOrEquivalentLevel

DOEL, DocteralOrEquivalentLevel

Docteral or equivalent level

Job task exposure estimate type

Accepted job exposure estimate types.

Table 567 Unit definition for Job task exposure estimate type.
Name Accepted names Description

8h TWA

TWA8h, 8hTWA, 8h TWA

Exposure estimate is an 8-hour time-weighted average (TWA).

LTA

LTA

Long-term average exposure estimate.

Job task exposure unit

Accepted units for job exposure activities.

Table 568 Unit definition for Job task exposure unit.
Name Accepted names Description

µg/cm2/day

ugPerCm2PerDay, µg/cm2/day, ug/cm2/day

Exposure expressed in micrograms per square centimeter (µg/cm2) per day.

mg/cm2/day

mgPerCm2PerDay, mg/cm2/day

Exposure expressed in milligrams per square centimeter (mg/cm2) per day.

µg/m3

ugPerM3, µg/m3

Exposure expressed in micrograms per cubic meters (µg/m3).

mg/m3

mgPerM3, mg/m3

Exposure expressed in milligrams per cubic meters (mg/m3).

µg/day

ugPerDay, µg/day, ug/day, µg/d, ug/d

Exposure expressed in micrograms per day (µg/day).

mg/day

mgPerDay, mg/day, mg/d

Exposure expressed in milligrams per day (mg/day).

Job task type

Accepted Job Task types.

Table 569 Unit definition for Job task type.
Name Accepted names Description

BathPlating

BP, BathPlating

Bath plating

ChromePaintApplications

CPA, ChromePaintApplications

Chrome paint applications

Machining

MA, Machining

Machining

Welding

WE, Welding

Welding

ThermalSpraying

TS, ThermalSpraying

Thermal spraying

SteelProduction

SP, SteelProduction

Steel production

MaintenanceAndLaboratoryWorkers

MALW, MaintenanceAndLaboratoryWorkers

Maintenance and laboratory workers

Kinetic conversion factor uncertainty distribution types.

Kinetic conversion factor uncertainty distribution types.

Table 570 Unit definition for Kinetic conversion factor uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and upper p95 percentile.

Uniform

Uniform

Uniform distribution specified by a mean/median and an upper boundary.

InverseUniform

InverseUniform

Inverse uniform distribution specified by a median and an upper boundary.

Kinetic conversion method type

Methods for translating between different (internal/external) exposure targets.

Table 571 Unit definition for Kinetic conversion method type.
Name Accepted names Description

Use kinetic conversion factors

ConversionFactorModel, ConversionFactor

Use (low-tier) kinetic conversion factor models.

Use PBK models

PbkModel, PBKModelOnly, PBKOnly

Use (high-tier) PBK models.

Use PBK models with fallback on kinetic conversion factors

PbkWithFallback, PBKModel, PBK

Use (high-tier) PBK models with fallback on (low-tier) kinetic conversion factors.

Left-censored data handling methods

Methods for handling left-censored data (i.e., imputation/substitution).

Table 572 Unit definition for Left-censored data handling methods.
Name Accepted names Description

Replace all left-censored values by zero

ReplaceByZero

All left-censored measurements are assumed to be zero’s (set to 0).

Replace all left-censored values by f * LOR

ReplaceByLOR

All left-censored measurements are substituted by f * LOR where f is a constant. Here, the term LOR (limit-of-reporting) is a generic term for LOD and LOQ. If both LOD and LOQ are available, then LOQ is used, also for non-detects (i.e., measurements reported as <LOD).

Replace non-detects by f * LOD and non-quantifications by LOD + f * (LOQ - LOD)

ReplaceByLODLOQSystem

Non-detects are replaced by f * LOD; non-quantifications are replaced by LOD + f * (LOQ - LOD), where f is a constant.

Replace non-detects by 0 and non-quantifications by f * LOQ

ReplaceByZeroLOQSystem

Non-detects are replaced by 0; non-quantifications are replaced by f * LOQ, where f is a constant.

Mean value correction types

Accepted Mean value correction types.

Table 573 Unit definition for Mean value correction types.
Name Accepted names Description

Unbiased

Unbiased

The mean of the lognormal is unbiased (bias correction).

Biased

Biased

The mean of the lognormal is biased (no bias correction).

Measurement result type

Specifies the type of a measurement result. E.g., a positive value, a non-detect, or missing value.

Table 574 Unit definition for Measurement result type.
Name Accepted names Description

VAL

VAL

Positive measurement greater than zero.

LOD

LOD

Measurement below the limit of detection (LOD).

LOQ

LOQ

Measurement below the limit of quantification (LOQ).

MV

MV

Missing value (MV).

Missing value imputation method types

Missing value imputation method types.

Table 575 Unit definition for Missing value imputation method types.
Name Accepted names Description

By zero

SetZero

Set missing values to zero.

Impute from data

ImputeFromData

Replace missing measurements by random other measurements of the same substance, biological matrix and sampling type.

No missing value imputation

NoImputation

No missing value imputation, all missing values remain in the data set and samples with missing values will be removed before analysis.

Modelled foods calculation source types

Accepted Modelled foods calculation source types.

Table 576 Unit definition for Modelled foods calculation source types.
Name Accepted names Description

Derive modelled foods from concentrations

DeriveModelledFoodsFromSampleBasedConcentrations

Derive modelled foods from sample based concentration data.

Derive modelled foods from single value concentrations

DeriveModelledFoodsFromSingleValueConcentrations

Derive modelled foods from single value concentrations.

Derive modelled foods from concentration limits

UseWorstCaseValues

Derive modelled foods from concentration limits.

Month type

Accepted months types.

Table 577 Unit definition for Month type.
Name Accepted names

January

January, Jan, Januari, 1

February

February, Feb, Februari, 2

March

March, Mar, 3

April

April, Apr, 4

May

May, 5

June

June, Jun, 6

July

July, Jul, 7

August

August, Aug, 8

September

September, Sep, Sept, 9

October

October, Oct, 10

November

November, Nov, 11

December

December, Dec, 12

Multiple substance handling method types

Accepted Multiple substance handling method types.

Table 578 Unit definition for Multiple substance handling method types.
Name Accepted names Description

Combined assessment of selected substances

Cumulate

Combined assessment of selected substances.

Loop over selected substances

LoopSubstances

Loop over selected substances.

Network analysis type

Accepted Network analysis types.

Table 579 Unit definition for Network analysis type.
Name Accepted names Description

No network analysis

NoNetworkAnalysis

No network analysis is applied.

Apply network analysis

NetworkAnalysis

Network analysis is applied on the substance x component (U) matrix.

Nondetect imputation method types

Accepted nondetect imputation method types.

Table 580 Unit definition for Nondetect imputation method types.
Name Accepted names Description

Replace by LOR/LOQ/LOD

ReplaceByLimit

Non-quantifications are replaced by f * LOR or f * LOD or by LOD + f * (LOQ - LOD) where f is a constant.

Impute from censored lognormal distribution

CensoredLogNormal

Replace nondetect measurements by a random draw from the lower (left) tail of the censored lognormal distribution.

Occupational exposure calculation method

Available methods for calculating modelled occupational exposures.

Table 581 Unit definition for Occupational exposure calculation method.
Name Accepted names Description

Compute for single individual

SingleIndividual

Compute for single individual.

Compute for individual set

IndividualSet

Compute for a set of individuals.

Occupational exposure model type

Exposure model types for occupational exposures.

Table 582 Unit definition for Occupational exposure model type.
Name Accepted names Description

Use percentile point

Percentile

Constant model from selected distribution percentile.

Use distribution

Distribution

A parametric model is fitted on the provided distribution percentiles.

Output stratification variable

Supported variables to categorise individuals into distinct subgroups for stratified presentation outputs.

Table 583 Unit definition for Output stratification variable.
Name Accepted names Description

Sex

Sex

Stratify individuals by sex.

Occupational scenario

OccupationalScenario

Stratify by occupational scenario.

Case control

CaseControl

Stratify by occupational scenario case control.

Age

Age

Stratify individuals by age group.

PBK model compartment type

PBK model compartment type definitions.

Table 584 Unit definition for PBK model compartment type.
Name Accepted names

Other

Other

alveolar air compartment

AlveolarAir

arterial blood compartment

ArterialBlood

arterial plasma compartment

ArterialPlasma

Blood compartment

Blood

blood plasma compartment

BloodPlasma

fat compartment

Fat

feces compartment

Feces

gut compartment

Gut

gonads compartment

Gonads

heart compartment

Heart

kidney compartment

Kidney

liver compartment

Liver

lung compartment

Lung

poorly perfused tissue compartment

PoorlyPerfusedTissue

rest-of-body compartment

RestOfBody

richly perfused tissue compartment

RichlyPerfusedTissue

skin compartment

Skin

exposed skin compartment

ExposedSkin

unexposed exposed skin compartment

UnexposedSkin

stratum corneum exposed skin compartment

StratumCorneumExposedSkin

stratum corneum unexposed skin compartment

StratumCorneumUnexposedSkin

urine compartment

Urine

uterus compartment

Uterus

venous blood compartment

VenousBlood

venous plasma compartment

VenousPlasma

viable epidermis exposed skin compartment

ViableEpidermisExposedSkin

viable epidermis unexposed skin compartment

ViableEpidermisUnexposedSkin

PBK model parameter distribution types.

Probability distribution types for PBK model parameters.

Table 585 Unit definition for PBK model parameter distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and two coefficients of variation (CVs), one representing variability around the mean and the other reprenting uncertainty of the mean.

Normal

Normal

Normal distribution parameterised by a mean and two standard deviations (SDs), one representing variability around the mean and the other reprenting uncertainty of the mean.

Logistic Normal

LogisticNormal

Logistic Normal distribution parameterised by a mean and two coefficients of variation (CVs), one representing variability around the mean and the other reprenting uncertainty of the mean.

Deterministic

Deterministic, Constant

Deterministic distribution.

PBK model parameter type

PBK model parameter type definitions.

Table 586 Unit definition for PBK model parameter type.
Name Accepted names Description

Other

Other

physiological parameter

Physiological

sex

Sex, Gender

age

Age

Age of individual (during simulation).

age

AgeInit

(Initial) age of individual (i.e. at start of simulation).

reference age

AgeRef

Reference age of individual (e.g. age at time of measuring the reference body weight, see reference body weight).

body weight

BodyWeight, BW

reference body weight

BodyWeightRef, BWRef

Reference body weight of individual measured at a certain age.

body surface area

BodySurfaceArea, BSA

body mass index

BodyMassIndex, BMI

height

Height

physicochemical parameter

Physicochemical

molecular weight

MolecularWeight, MW

metabolic parameter

Metabolic

partition coefficient

PartitionCoefficient, PC

PBK model species type

PBK model species type definitions.

Table 587 Unit definition for PBK model species type.
Name Accepted names Description

human

Human

Human

Mice

Mice

Mice

PBK output resolution time unit

Time unit for specification of the evaluation/output resolution of PBK model simulations.

Table 588 Unit definition for PBK output resolution time unit.
Name Accepted names Description

Use model time unit

ModelTimeUnit

Use model time resolution.

Minutes

Minutes

PBK simulation output resolution is specified in minutes.

Hours

Hours

PBK simulation output resolution is specified in hours.

Days

Days

PBK simulation output resolution is specified in days.

PBK simulation methods

PBK simulation methods.

Table 589 Unit definition for PBK simulation methods.
Name Accepted names Description

Standard PBK model simulation

Standard

Standard PBK model simulation, starting at current age and run simulation for specified time period.

Lifetime model simulation from birth to current age

LifetimeToCurrentAge

Run (lifetime) PBK model simulation from birth until current age.

Lifetime model simulation from birth until specified age

LifetimeToSpecifiedAge

Run (lifetime) PBK model simulation from birth until specified age.

Point of departure type

Accepted point of departure types.

Table 590 Unit definition for Point of departure type.
Name Accepted names

Benchmark dose

Bmd, BMD

No observed adverse effect level

Noael, NOAEL

Lowest observed adverse effect level

Loael, LOAEL

No observed effect level

Noel, NOEL

Median lethal dose

Ld50, LD50

Benchmark dose lower confidence limit of 1%

Bmdl01, BMDL01

Benchmark dose lower confidence limit of 10%

Bmdl10, BMDL10

Point of departure types

Accepted Point of departure types.

Table 591 Unit definition for Point of departure types.
Name Accepted names Description

Unspecified (no conversion to common expression type)

FromReference

Do not convert non-standard point of departures.

BMD (convert all hazard characterisations as BMDs)

BMD

Convert all point of departures to bench mark doses.

NOAEL (convert all hazard characterisations as NOAELs)

NOAEL

Convert all point of departures to NOAELs.

Population alignment method

The population alignment method used for the selected exposure source.

Table 592 Unit definition for Population alignment method.
Name Accepted names Description

Match completely at random​

MatchRandom

Match completely at random.

Match at individual level

MatchIndividualID, MatchIndividualId

Match at individual level (on individual ID).

Match at random based on cofactors (stratified at random)

MatchCofactors

Match at random based on cofactors (stratified at random).​

Population characteristic distribution types.

Distribution types used to described population characteristics.

Table 593 Unit definition for Population characteristic distribution types..
Name Accepted names Description

Normal

Normal

Normal distribution parameterised by a mean and a coefficient of variation.

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Population characteristic type

Different characteristic types that can be used to describe a population.

Table 594 Unit definition for Population characteristic type.
Name Accepted names Description

IQ

IQ

Intelligence quotient.

BirthWeight

BirthWeight

Body weight of a baby at their birth.

Population size uncertainty distribution types.

Population size uncertainty distribution types.

Table 595 Unit definition for Population size uncertainty distribution types..
Name Accepted names Description

Normal

Normal

Normal distribution parameterised by a mean and and upper p95 percentile.

Triangular

Triangular

Triangular distribution specified by a mode and a lower and upper boundary.

Processing distribution type

Accepted processing distribution types.

Table 596 Unit definition for Processing distribution type.
Name Accepted names Description

Logistic Normal distribution

LogisticNormal, 1

Logisticnormal distribution.

Log Normal distribution

LogNormal, 2

Lognormal distribution.

Property level type

Accepted property level types.

Table 597 Unit definition for Property level type.
Name Accepted names Description

Individual

Individual

Individual level.

IndividualDay

IndividualDay

IndividualDay.

Protective clothing type

Controlled terminology for type of protective clothing.

Table 598 Unit definition for Protective clothing type.
Name Accepted names Description

None

None

No protective clothing

Protective clothing

ProtectiveClothing, PC, PPC

Personal protective clothing with unspecified protection level.

RPE type

Controlled terminology for type of RPE.

Table 599 Unit definition for RPE type.
Name Accepted names Description

None

None

None

RPE

RPE

RPE

Reference individual set

Reference individual set.

Table 600 Unit definition for Reference individual set.
Name Accepted names Description

Diet

Diet

Individuals from the dietary exposures module.

Consumer products

ConsumerProducts

Individuals from the consumer product exposures module.

Air

Air

Individuals from the air exposures module.

Dust

Dust

Individuals from the dust exposures module.

Soil

Soil

Individuals from the soil exposures module.

Individuals

Individuals

Individuals collected/generated in the individuals module.

Response type

Accepted response types.

Table 601 Unit definition for Response type.
Name Accepted names Description

Continuous multiplicative

ContinuousMultiplicative

Response values are positive real numbers, e.g., weight, size.

Continuous additive

ContinuousAdditive

Response values are real numbers, e.g., weight change, temperature.

Binary

Binary

Response values have binary outcomes (yes/no, true/false, success/failure, 0/1, etc.).

Quantal

Quantal, Binomial

Response is measured in terms of number of successes out of N possible.

Quantal group

QuantalGroup

Individual responses are measured as binary values, which may be grouped to form a quantal response.

Count

Count

Number of items (cells, molecules, deaths, etc.) in given interval/area/volume.

Ordinal

Ordinal

Relative scores (or graded scores) useable only for ranking.

Risk characterisation ratio

The form of the ratio for expressing risk based on an exposure estimate and a hazard threshold value. This can be either exposure/hazard or hazard/exposure.

Table 602 Unit definition for Risk characterisation ratio.
Name Accepted names Description

hazard/exposure

HazardExposureRatio

Express risk as the ratio hazard/exposure (e.g., MOE(T)).

exposure/hazard

ExposureHazardRatio

Express risk as the ratio exposure/hazard (e.g., HI,HQ, RPI).

Riskmetric calculation types

Accepted Riskmetric calculation types.

Table 603 Unit definition for Riskmetric calculation types.
Name Accepted names Description

RPF weighted

RPFWeighted

Calculates risk as a single ratio involving cumulative RPF-weighted exposures.

Sum of risk characterisation ratios

SumRatios

Calculate risk as sum of ratios of exposure and hazard.

Selected exposure routes

Selected exposure routes for inclusion in exposure calculations.

Table 604 Unit definition for Selected exposure routes.
Name Accepted names Description

Dermal exposure

Dermal

Dermal exposure.

Inhalation exposure

Inhalation

Inhalation exposure.

Sex type

Controlled vocabulary for biological sex (at birth).

Table 605 Unit definition for Sex type.
Name Accepted names Description

Female

Female, F, Femme, Frau

Female

Male

Male, M, Homme, Mann

Male

Shift types.

Controlled vocabulary for shift types.

Table 606 Unit definition for Shift types..
Name Accepted names Description

Pre-shift

PreShift

Pre-shift.

Post-shift

PostShift

Post-shift.

Shorter than lifetime residue generation method

Methods for generating residues for shorter than lifetime exposure calculations.

Table 607 Unit definition for Shorter than lifetime residue generation method.
Name Accepted names Description

Use means

UseMeans

Use means as in chronic exposure calculations.

Random per consumption

RandomPerConsumption

Use random values per consumption, as in acute exposure calculations.

Single value dietary exposures calculation method types

Accepted Single value dietary exposures calculation method types.

Table 608 Unit definition for Single value dietary exposures calculation method types.
Name Accepted names Description

IESTI

IESTI

IESTI.

IESTI new

IESTINew

IESTI new.

TMDI

TMDI

Theoretical Maximum Daily Intake.

IEDI

IEDI

International Estimated Daily Intake.

Rees–Day model (I)

NEDI1

Rees–Day model (I).

Rees–Day model (II)

NEDI2

Rees–Day model (II).

Single value risk calculation method types

Accepted Single value risk calculation method types.

Table 609 Unit definition for Single value risk calculation method types.
Name Accepted names Description

From single value dietary exposures

FromSingleValues

From single value dietary exposures and hazard characterisations.

As percentile from risks distribution

FromIndividualRisks

As percentile from risks distribution.

Soil concentration uncertainty distribution types.

Soil concentration uncertainty distribution types.

Table 610 Unit definition for Soil concentration uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Soilingestion uncertainty distribution types.

Soil ingestion uncertainty distribution types.

Table 611 Unit definition for Soilingestion uncertainty distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Uniform

Uniform

Uniform distribution specified by a mean/median and a coefficient of variation.

Standardise blood methods

Accepted Standardise blood methods.

Table 612 Unit definition for Standardise blood methods.
Name Accepted names Description

Standardise by total lipid measured via gravimetric analysis

GravimetricAnalysis

Standardise by total lipid measured via gravimetric analysis.

Standardise by total lipid measured via enzymatic summation

EnzymaticSummation

Standardise by total lipid measured via enzymatic summation.

Standardise by derived total lipid content of Triglycerides/Cholesterol (Bernert et al. 2007)

BernertMethod

Standardise by derived total lipid content (Bernert et al. 2007).

Standardise/normalise urine concentration method

Accepted Standardise urine concentration methods based on creatinine.

Table 613 Unit definition for Standardise/normalise urine concentration method.
Name Accepted names Description

Normalise by specific gravity

SpecificGravity

Normalise by specific gravity. Levine and Fahy (1945).

Standardise by creatinine concentration

CreatinineStandardisation

Standardise by creatinine concentration.

Normalise by specific gravity derived from creatinine, adults (Carrieri et al. 2001)

SpecificGravityCreatinineAdjustment

A specific gravity adjustment is applied by multiplying a creatinine adjusted concentration with a factor (default 1.48 for adults 18 - 68 year).

Normalise by specific gravity derived from nonlinear modelling of creatinine, children 6 - 14 yr (Busgang et al. 2023, model 1)

SpecificGravityCreatinineNonlinearModelOne

A specific gravity adjustment is applied by nonlinear modelling of a creatinine adjusted concentration, using model 1 of table 3 of Busgang et al. 2023 (children 6 - 14 year).

Normalise by specific gravity derived from nonlinear modelling of creatinine, children 6 - 14 yr, age and gender dependent (Busgang et al. 2023, model 2)

SpecificGravityCreatinineNonlinearModelTwo

A specific gravity adjustment is applied by nonlinear modelling of a creatinine adjusted concentration, using the age and gender dependent model 2 of table 3 of Busgang et al. 2023 (children 6 - 14 year).

Substance group selection method types

Accepted Substance group selection method types.

Table 614 Unit definition for Substance group selection method types.
Name Accepted names Description

All substances

IncludeAll

Include all substances of the substances table and use hazard characterisation imputation for missing hazard data.

Restrict to available hazard data

RestrictHazardDoseRpf

Restrict to the substances with available hazard data (either in the form of dose response models or RPFs).

Restrict to available hazard data and possible membership

RestrictHazardDoseRpfAndProbableMembership

Consider only the substances with available hazard data and non-zero membership (i.e., P(AG) > 0).

Restrict to available hazard data and certain membership

RestrictHazardDoseRpfAndCertainMembership

Consider only substances with certain assessment group membership (i.e., P(AG) = 1) and for which a hazard characterisation is available.

Restrict to non-zero membership

RestrictProbableMembership

Consider all substances, use TTC based on the Cramer class for the substances for which no limit dose or RPF is defined.

Restrict to certain membership

RestrictCertainMembership

Consider only the substances with certain assessment group membership (i.e., P(AG) = 1).

Substance translation allocation method types

Accepted Substance translation allocation method types.

Table 615 Unit definition for Substance translation allocation method types.
Name Accepted names Description

Random allocation

DrawRandom

Random allocation.

Allocate most potent

UseMostToxic

Allocate most potent active substance.

Allocate least potent

UseLeastToxic

Allocate least potent active substance.

Nominal estimate

NominalEstimates

Allocate nominal estimate (weighted average allocation).

Allocate to all

AllocateToAll

Allocate for each active substance independently as if all concentrations were allocated to this active substance.

Target dose selection method types

Accepted Target dose selection method types.

Table 616 Unit definition for Target dose selection method types.
Name Accepted names Description

Select most toxic

MostToxic

Choose the most toxic (default).

Take aggregate

Aggregate

Choose an aggregated hazard characterisation when there there are multiple available candidates in nominal runs.

Random draw

Draw

Draw a random hazard characterisation.

Target level type

The exposure target level indicates whether an exposure/dose is assumed to be an internal (target) concentration, an external dose, or an internal (systemic) dose.

Table 617 Unit definition for Target level type.
Name Accepted names Description

External dose

External, ExternalDose

The administered or external dose, often referred to as exposure or intake.

Internal (systemic) dose

Systemic, InternalDose

The absorbed dose is the amount of chemical that is systemically available and can be regarded as the fraction of the external dose that is absorbed and enters the general circulation.

Internal (target) concentration

Internal, InternalConcentration

Internal dose or target dose (tissue dose) is the amount of chemical present in a specific target of interest, i.c. a concentration.

Test system type

Accepted test system types.

Table 618 Unit definition for Test system type.
Name Accepted names Description

In vivo

InVivo

In vivo

Cell line

CellLine

CellLine

Primary cells

PrimaryCells, StemCells, Embryo

PrimaryCells

Tissue

Tissue

Tissue

Organ

Organ

Organ

Testing method types

Accepted testing method types.

Table 619 Unit definition for Testing method types.
Name Accepted names Description

Backward

Backward

Backward selection starts with selecting a model with a function of the highest degree. Then, the degree of the function is decreased by one and the model is tested again. This process is repeated until decreasing the degree does not improve the model fit anymore.

Forward

Forward

Forward selections starts with selecting a model with a function of the lowest degree. Then, the degree of the function is increased by one and the model is tested again. This process is repeated until increasing the degree does not improve the model fit anymore.

Time unit

Supported time units.

Table 620 Unit definition for Time unit.
Name Accepted names Description

seconds

Seconds, sec

Seconds

minutes

Minutes, min

In minutes

hours

Hours, h

In hours

days

Days, d

days

Transform types

Accepted Transform types.

Table 621 Unit definition for Transform types.
Name Accepted names Description

Logarithmic

Logarithmic

Exposure amounts are transformed to normality using a logarithmic transformation.

No transformation

NoTransform

Exposure amounts are not transformed.

Power

Power

Exposure amounts are transformed to normality using a Box-Cox power transformation.

Uncertainty types

Accepted Uncertainty types.

Table 622 Unit definition for Uncertainty types.
Name Accepted names Description

Empirical

Empirical

Data are taken as such.

Parametric

Parametric

A parametric model is fitted to the data.

Unit variability correlation types

Accepted Unit variability correlation types.

Table 623 Unit definition for Unit variability correlation types.
Name Accepted names Description

No correlation

NoCorrelation

The unit residue values for unit portions (consumption amount/unitweight) are randomly drawn, explicitly ignoring any correlation between unit residues.

Full correlation

FullCorrelation

The unit residue values for unit portions (consumption amount/unitweight) are randomly drawn, explicitly introducing correlation between unit residues, e.g. high (small) values occur more frequently together.

Unit variability model types

Accepted Unit variability model types.

Table 624 Unit definition for Unit variability model types.
Name Accepted names Description

Beta distribution

BetaDistribution

Requires knowledge of the number of units in a composite sample, and of the variability between units (realistic or conservative estimates). Under the beta model, the simulated unit values are drawn from a bounded distribution on the interval.

Lognormal distribution

LogNormalDistribution

Requires only knowledge of the variability between units (realistic or conservative estimates). The lognormal distribution is considered as an appropriate model for many empirical positive concentration distributions (unbounded distribution).

Bernoulli distribution

BernoulliDistribution

Requires only knowledge of the number of units in a composite sample (results are always conservative). The bernoulli model is a limiting case of the beta model, which can be used if no information on unit variability is available, but only the number of units in a composite sample is known.

Unit variability types

Accepted Unit variability types.

Table 625 Unit definition for Unit variability types.
Name Accepted names Description

Variation coefficient

VariationCoefficient

Standard deviation divided by the mean.

Variability factor

VariabilityFactor

Defined as 97.5th percentile divided by the mean.

Unit weight value type

Accepted unit weight types.

Table 626 Unit definition for Unit weight value type.
Name Accepted names Description

Unit weight RAC

UnitWeightRac, UnitWeightRAC, RAC, UnitWeightRawAgriculturalCommodity

Unit weight raw agricultural commodity (RAC).

Unit Weight EP

UnitWeightEp, EP, UnitWeightEP, UnitWeightEdiblePortion

Unit weight edible portion (EP).

Value qualifier

Supported value qualifiers.

Table 627 Unit definition for Value qualifier.
Name Accepted names

=

Equals, =

<

LessThan, lt, <

Ventilatory flow rate variability distribution types.

Ventilatory flow rate variability distribution types.

Table 628 Unit definition for Ventilatory flow rate variability distribution types..
Name Accepted names Description

LogNormal

LogNormal

Lognormal distribution parameterised by a mean and a coefficient of variation.

Within bin exposure representation method

Method used for selecting the value within a bin that should represent the exposure for the bin.

Table 629 Unit definition for Within bin exposure representation method.
Name Accepted names Description

Minimum in bin

MinimumInBin

Minimum exposure value within the bin.

Maximum in bin

MaximumInBin

Maximum exposure value within the bin.

Average in bin

AverageInBin

Average exposure value within the bin.