Type and Unit definitions

Adjustment factor distribution method types

Accepted justment factor distribution method types. Controlled terminology.

Table 227 Unit definition for Adjustment factor distribution method types.
Name Short name Aliases 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).

Assessment group membership calculation methods

Accepted Assessment group membership calculation methods. Controlled terminology.

Table 228 Unit definition for Assessment group membership calculation methods.
Name Short name Aliases Description

Any (crisp)

Any (crisp)

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)

Majority (crisp)

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)

Ratio (probabilistic)

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

Bayesian (probabilistic)

Bayesian (probabilistic)

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. Controlled terminology.

Table 229 Unit definition for Benchmark response type.
Name Short name Aliases Description

Fraction change

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

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

Fraction of background

Factor, 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 of background

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

ER

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

AR

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

Threshold value

Absolute

The benchmark dose is defined as an absolute threshold value.

Absolute difference

Absolute difference

Difference

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

Biological organisation type

Accepted biological organisation types. Controlled terminology.

Table 230 Unit definition for Biological organisation type.
Name Short name Aliases Description

Molecular

Molecular

Molecular

Molecular level

Cellular

Cellular

Cellular

Cellular level

Tissue

Tissue

Tissue

Tissue level

Organ

Organ

Organelle, Organ

Organ level

Individual

Individual

Individual

Whole body level

Population

Population

Population

Population level

Body weight unit

Accepted units for person body weights. Controlled terminology.

Table 231 Unit definition for Body weight unit.
Name Short name Aliases

kilogram

kg

kg, kilograms, kilogr, 3, G167A

gram

g

g, grams, gr, 0, G148A

Boolean type

Accepted boolean types. Controlled terminology.

Table 232 Unit definition for Boolean type.
Name Short name Aliases

True

True

True, Yes, T, Y

False

False

False, F, No, N

Cluster method type

Accepted cluster method types. Controlled terminology.

Table 233 Unit definition for Cluster method type.
Name Short name Aliases 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. Controlled terminology.

Table 234 Unit definition for Combination method membership info and PoD presence types.
Name Short name Aliases 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. Controlled terminology.

Table 235 Unit definition for Concentration limit value type.
Name Short name Aliases

Maximum residue limit

MRL

MRL, MaximumResidueLimit

Proposed maximum residue limit

Proposed-MRL

ProposedMrl, ProposedMaximumResidueLimit

Concentration model choice types

Accepted Concentration model choice types. Controlled terminology.

Table 236 Unit definition for Concentration model choice types.
Name Short name Aliases Description

Custom

Custom

By setting this tier to custom, the exposure model can be configured in any way desirable (without tier specific presets). The model is fully specified by the user. Both EFSA 2012 Optimistic and EFSA 2012 Pessimistic can be specified using the custom model choice. This choice allows for a sensitivity analysis where each factor is varied, one at the time.

EFSA 2012 Optimistic

EfsaOptimistic

EFSA 2012 Optimistic.

EFSA 2012 Pessimistic

EfsaPessimistic

EFSA 2012 Pessimistic.

EC 2018 Tier 1

ComTier1

EC 2018 Tier 1.

EC 2018 Tier 2

ComTier2

EC 2018 Tier 2.

EFSA 2012 Pessimistic - Acute

EfsaPessimisticAcute

EFSA 2012 Pessimistic - Acute.

EFSA 2012 Pessimistic - Chronic

EfsaPessimisticChronic

EFSA 2012 Pessimistic - Chronic.

Concentration model types

Accepted Concentration model types. Controlled terminology.

Table 237 Unit definition for Concentration model types.
Name Short name Aliases Description

Empirical

Empirical

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

Censored value Spike LogNormal

CVSpike-LogN

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

CVSpike-TruncLogN

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

CensLogN

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

ZeroSpike-CensLogN

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

CVSpike-MRL

Censored Spike Maximum Residue Limit.

Summary statistics

Summary statistic

Summary statistics.

LogNormal

LogN

Lognormal model.

Concentration unit

Accepted units for substance concentrations. Controlled terminology.

Table 238 Unit definition for Concentration unit.
Name Short name Aliases

kilogram/kilogram

kg/kg

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

gram/kilogram

g/kg

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

milligram/kilogram

mg/kg

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

microgram/kilogram

µg/kg

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

nanogram/kilogram

ng/kg

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

picogram/kilogram

pg/kg

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

kilogram/liter

kg/L

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

gram/liter

g/L

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

milligram/liter

mg/L

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

microgram/liter

µg/L

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

nanogram/liter

ng/L

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

picogram/liter

pg/L

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

microgram/milliliter

µg/mL

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

nanogram/milliliter

ng/mL

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

milligram/deciliter

mg/dL

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

Concentration value type

Accepted concentration value type. Controlled terminology.

Table 239 Unit definition for Concentration value type.
Name Short name Aliases Description

Mean concentration

MC

MeanConcentration, ConcentrationMean, MC

Mean value from the residue trials.

Median concentration

MR

MedianConcentration, MR, STMR, SupervisedTrialMedianResidue

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

Highest concentration

HR

HighestConcentration, HighestResidue, HR

Highest measured residue / concentration value.

Concentration percentile

CP

Percentile

Limit of quantification

LOQ

LOQ

Maximum residue limit

MRL

MRL

Concentrations tier types

Accepted Concentrations tier types. Controlled terminology.

Table 240 Unit definition for Concentrations tier types.
Name Short name Aliases Description

Custom

Custom

By setting this tier to custom, the exposure model can be configured in any way desirable (without tier specific presets). The model is fully specified by the user. Both EFSA 2012 Optimistic and EFSA 2012 Pessimistic can be specified using the custom model choice. This choice allows for a sensitivity analysis where each factor is varied, one at the time.

EC 2018 Tier 1

ComTier1

EC 2018 Tier 1.

EC 2018 Tier 2

ComTier2

EC 2018 Tier 2.

Consumption intake unit

Accepted units for consumption intake amounts. Controlled terminology.

Table 241 Unit definition for Consumption intake unit.
Name Short name Aliases

gram/kilogram bodyweight/day

g/kg bw/day

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

gram/day

g/day

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

Consumption unit

Accepted units for consumption amounts. Controlled terminology.

Table 242 Unit definition for Consumption unit.
Name Short name Aliases

kilogram

kg

kg, kilograms, kilogr, 3, G167A

gram

g

g, grams, gr, 0, G148A

Consumption value type

Accepted consumption value types. Controlled terminology.

Table 243 Unit definition for Consumption value type.
Name Short name Aliases

Large portion

LP

LP, LargePortion

Mean consumption

MC

MC, MeanConsumption

Percentile

Percentile

Percentile, P

Covariate model types

Accepted Covariate model types. Controlled terminology.

Table 244 Unit definition for Covariate model types.
Name Short name Aliases 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. Controlled terminology.

Table 245 Unit definition for Dietary exposures details level types.
Name Short name Aliases 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.

Dietary intake calculation tier types

Accepted Dietary intake calculation tier types. Controlled terminology.

Table 246 Unit definition for Dietary intake calculation tier types.
Name Short name Aliases Description

Custom

Custom

By setting this tier to custom, the exposure model can be configured in any way desirable (without tier specific presets).

EFSA 2012 Optimistic

EfsaOptimistic

EFSA 2012 Optimistic.

EFSA 2012 Pessimistic

EfsaPessimistic

EFSA 2012 Pessimistic.

EC 2018 Tier 1

ComTier1

EC 2018 Tier 1.

EC 2018 Tier 2

ComTier2

EC 2018 Tier 2.

EFSA 2012 Pessimistic - Acute

EfsaPessimisticAcute

EFSA 2012 Pessimistic - Acute.

EFSA 2012 Pessimistic - Chronic

EfsaPessimisticChronic

EFSA 2012 Pessimistic - Chronic.

Dose response model type

Accepted dose response model types. Controlled terminology.

Table 247 Unit definition for Dose response model type.
Name Short name Aliases Description

Exp-m1

Exp-m1

Expm1

Exponential model 1

Exp-m2

Exp-m2

Expm2

Exponential model 2

Exp-m3

Exp-m3

Expm3

Exponential model 3

Exp-m4

Exp-m4

Expm4

Exponential model 4

Exp-m5

Exp-m5

Expm5

Exponential model 5

Hill-m1

Hill-m1

Hillm1

Hill model 1

Hill-m2

Hill-m2

Hillm2

Hill model 2

Hill-m3

Hill-m3

Hillm3

Hill model 3

Hill-m4

Hill-m4

Hillm4

Hill model 4

Hill-m5

Hill-m5

Hillm5

Hill model 5

TwoStage

TwoStage

TwoStage

LogLogist

LogLogist

LogLogist

Weibull

Weibull

Weibull

LogProb

LogProb

LogProb

Gamma

Gamma

Gamma

Logistic

Logistic

Logistic

Probit

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. Controlled terminology.

Table 248 Unit definition for Dose unit.
Name Short name Aliases

gram/kilogram bodyweight/day

g/kg bw/day

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

milligram/kilogram bodyweight/day

mg/kg bw/day

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

microgram/kilogram bodyweight/day

µg/kg bw/day

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

nanogram/kilogram bodyweight/day

ng/kg bw/day

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

picogram/kilogram bodyweight/day

pg/kg bw/day

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

femtogram/kilogram bodyweight/day

fg/kg bw/day

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

gram/gram bodyweight/day

g/g bw/day

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

milligram/gram bodyweight/day

mg/g bw/day

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

microgram/gram bodyweight/day

µg/g bw/day

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

nanogram/gram bodyweight/day

ng/g bw/day

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

picogram/gram bodyweight/day

pg/g bw/day

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

femtogram/gram bodyweight/day

fg/g bw/day

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

kilogram/day

kg/day

kg/day, kilogram/day, kilogr/day

gram/day

g/day

g/day, gram/day, gr/day

milligram/day

mg/day

mg/day, milligram/day, milligr/day

microgram/day

µg/day

µg/day, microgram/day, microgr/day

nanogram/day

ng/day

ng/day, nanogram/day, nanogr/day

picogram/day

pg/day

pg/day, picogram/day, picogr/day

femtogram/day

fg/day

fg/day, femtogram/day, femtogr/day

kilogram/kilogram

kg/kg

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

gram/kilogram

g/kg

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

milligram/kilogram

mg/kg

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

microgram/kilogram

µg/kg

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

nanogram/kilogram

ng/kg

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

picogram/kilogram

pg/kg

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

molar

M

M, mol/L

millimolar

mM

mM, mmol/L

micromolar

µM

uM, µM, umol/L

nanomolar

nM

nM, nmol/L

moles

moles

moles, Moles

millimoles

mmoles

mmoles, mMoles

micromoles

µmoles

umoles, uMoles

nanomoles

nmoles

nmoles, nMoles

gram/kilogram bodyweight/week

g/kg bw/week

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

milligram/kilogram bodyweight/week

mg/kg bw/week

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

microgram/kilogram bodyweight/week

µg/kg bw/week

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

nanogram/kilogram bodyweight/week

ng/kg bw/week

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

picogram/kilogram bodyweight/week

pg/kg bw/week

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

femtogram/kilogram bodyweight/week

fg/kg bw/week

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

gram/gram bodyweight/week

g/g bw/week

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

milligram/gram bodyweight/week

mg/g bw/week

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

microgram/gram bodyweight/week

µg/g bw/week

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

nanogram/gram bodyweight/week

ng/g bw/week

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

picogram/gram bodyweight/week

pg/g bw/week

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

femtogram/gram bodyweight/week

fg/g bw/week

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

kilogram/week

kg/week

kg/week, kilogram/week, kilogr/week

gram/week

g/week

g/week, gram/week, gr/week

milligram/week

mg/week

mg/week, milligram/week, milligr/week

microgram/week

µg/week

µg/week, microgram/week, microgr/week

nanogram/week

ng/week

ng/week, nanogram/week, nanogr/week

picogram/week

pg/week

pg/week, picogram/week, picogr/week

femtogram/week

fg/week

fg/week, femtogram/week, femtogr/week

Estimates nature types

Accepted Estimates nature types. Controlled terminology.

Table 249 Unit definition for Estimates nature types.
Name Short name Aliases 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 types

Accepted Exposure approach types. Controlled terminology.

Table 250 Unit definition for Exposure approach types.
Name Short name Aliases Description

Risk based (RPFs)

Risk based (RPFs)

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

Standardised

Standardised

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

Unweighted (RPFs = 1)

ExposuresUW

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

Exposure method types

Accepted Exposure method types. Controlled terminology.

Table 251 Unit definition for Exposure method types.
Name Short name Aliases Description

Manual

Manual

Exposure levels are determined by explicit specification.

Automatic

Automatic

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

Exposure route type

Accepted exposure routes how an individual is exposed to substance concentrations. Controlled terminology.

Table 252 Unit definition for Exposure route type.
Name Short name Aliases Description

Dietary exposure

Dietary

Dietary

Dietary exposure.

Non-dietary oral exposure

Oral

Oral

Non-dietary oral exposure.

Non-dietary dermal exposure

Dermal

Dermal

Non-dietary dermal exposure.

Non-dietary inhalation exposure

Inhalation

Inhalation

Non-dietary inhalation exposure.

At target

At target

AtTarget

Exposures directly at the target (organ).

Exposure type

Accepted exposure types. Controlled terminology.

Table 253 Unit definition for Exposure type.
Name Short name Aliases Description

Acute

Acute

Acute

Acute exposure.

Chronic

Chronic

Chronic

Chronic exposure.

Exposure unit

Accepted units for substance exposures. Controlled terminology.

Table 254 Unit definition for Exposure unit.
Name Short name Aliases

gram/kilogram bodyweight/day

g/kg bw/day

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

milligram/kilogram bodyweight/day

mg/kg bw/day

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

microgram/kilogram bodyweight/day

µg/kg bw/day

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

nanogram/kilogram bodyweight/day

ng/kg bw/day

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

picogram/kilogram bodyweight/day

pg/kg bw/day

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

femtogram/kilogram bodyweight/day

fg/kg bw/day

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

gram/gram bodyweight/day

g/g bw/day

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

milligram/gram bodyweight/day

mg/g bw/day

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

microgram/gram bodyweight/day

µg/g bw/day

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

nanogram/gram bodyweight/day

ng/g bw/day

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

picogram/gram bodyweight/day

pg/g bw/day

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

femtogram/gram bodyweight/day

fg/g bw/day

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

kilogram/day

kg/day

kg/day, kilogram/day, kilogr/day

gram/day

g/day

g/day, gram/day, gr/day

milligram/day

mg/day

mg/day, milligram/day, milligr/day

microgram/day

µg/day

µg/day, microgram/day, microgr/day

nanogram/day

ng/day

ng/day, nanogram/day, nanogr/day

picogram/day

pg/day

pg/day, picogram/day, picogr/day

femtogram/day

fg/day

fg/day, femtogram/day, femtogr/day

gram/kilogram

g/kg

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

milligram/kilogram

mg/kg

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

microgram/kilogram

µg/kg

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

nanogram/kilogram

ng/kg

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

picogram/kilogram

pg/kg

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

femtogram/kilogram

fg/kg

fg/kg, femtogram/kg, femtogr/kg

gram

g

g, gram, gr, G148A

milligram

mg

mg, milligram, milligr, G155A

microgram

µg

µg, microgram, microgr

nanogram

ng

ng, nanogram, nanogr, G120A

picogram

pg

pg, picogram, picogr, G125A

femtogram

fg

fg, femtogram, femtogr

Focal commodity replacement method types

Accepted Focal commodity replacement method types. Controlled terminology.

Table 255 Unit definition for Focal commodity replacement method types.
Name Short name Aliases Description

Replace samples with focal commodity samples

Replace samples with focal commodity samples

Replace all samples of the selected focal commodity/commodities.

Append focal commodity samples

Append focal commodity samples

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

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

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

Remove measurements of focal food/substance combinations

Remove measurements of focal food/substance combinations

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

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

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

Replace the substance concentrations of the background concentrations by a concentration limit value.

Function types

Accepted Function types. Controlled terminology.

Table 256 Unit definition for Function types.
Name Short name Aliases 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.

Gender type

Accepted gender types. Controlled terminology.

Table 257 Unit definition for Gender type.
Name Short name Aliases Description

Female

F

Female, F

Female

Male

M

Male, M

Male

Harvest application type

Accepted harvest application types. Controlled terminology.

Table 258 Unit definition for Harvest application type.
Name Short name Aliases Description

Pre-harvest application

Pre-harvest

PreHarvest

Pre-harvest application

Post-harvest application

Post-harvest

PostHarvest

Post-harvest application

Hazard characterisation type

Accepted hazard characterisation types. Controlled terminology.

Table 259 Unit definition for Hazard characterisation type.
Name Short name Aliases

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

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

Other

Hazard dose imputation method types

Accepted Hazard dose imputation method types. Controlled terminology.

Table 260 Unit definition for Hazard dose imputation method types.
Name Short name Aliases Description

Munro P5 (TTC approach)

Munro P5 (TTC approach)

Use the P5 of the Munro NOEL collection.

Munro central value

Munro central value

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

Available hazard characterisations distribution P5

Available hazard characterisations distribution P5

Use the P5 of the available points of departure.

Available hazard characterisations distribution central value

Available hazard characterisations distribution central value

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. Controlled terminology.

Table 261 Unit definition for Health effect types.
Name Short name Aliases Description

Risk

Risk

Health effect is negative (risk).

Benefit

Benefit

Health effect is positive (benefit).

Individual property type

Accepted individual property types. Controlled terminology.

Table 262 Unit definition for Individual property type.
Name Short name Aliases Description

Categorical

Categorical

Categorical

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

Boolean

Boolean

Boolean

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

Numeric

Numeric

Numeric

Numeric, real numbers.

Nonnegative

Nonnegative

Nonnegative

Nonnegative real numbers, positive or zero.

Integer

Integer

Integer

Integer, integer numbers.

NonnegativeInteger

NonnegativeInteger

NonnegativeInteger

NonnegativeInteger integer numbers, positive or zero.

Month

Month

Month

Month. See Month types unit definitions.

DateTime

DateTime

DateTime

DateTime, period.

Gender

Gender

Gender, Sex

Gender, sex or sexuality. See Gender types unit definitions.

Location

Location

Location

Location, country.

Individual subset types

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

Table 263 Unit definition for Individual subset types.
Name Short name Aliases Description

Match individuals selection to population definition

Match to population definition

Match individuals selection to population definition.

Ignore population definition (use all individuals in survey)

Ignore population definition

Ignore population definition (use all individuals in survey).

Match individuals selection to population definition using selected properties only

Match using selected properties

Match individuals selection to population definition using selected properties only.

Intake model types

Accepted Intake model types. Controlled terminology.

Table 264 Unit definition for Intake model types.
Name Short name Aliases 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 concentration types

Accepted Internal concentration types. Controlled terminology.

Table 265 Unit definition for Internal concentration types.
Name Short name Aliases Description

Internal modelled concentrations

Internal modelled concentrations

Internal modelled concentrations from dietary and/or non-dietary routes, aggregated.

Human monitoring concentrations

Human monitoring concentrations

Human monitoring concentrations as measured in blood, urine or other compartments.

Internal model type

Accepted internal model types. PBK model or absorption factor model Controlled terminology.

Table 266 Unit definition for Internal model type.
Name Short name Aliases Description

Absorption Factor Model

AbsorptionFactorModel

AbsorptionFactorModel

Use absorption factor model.

PBK Model

PBKModel

PBKModel

Use PBK model.

Mean value correction types

Accepted Mean value correction types. Controlled terminology.

Table 267 Unit definition for Mean value correction types.
Name Short name Aliases 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 268 Unit definition for Measurement result type.
Name Short name Aliases Description

VAL

VAL

VAL

Positive measurement greater than zero.

LOD

LOD

LOD

Measurement below the limit of detection (LOD).

LOQ

LOQ

LOQ

Measurement below the limit of quantification (LOQ).

MV

MV

MV

Missing value (MV).

Missing value imputation method types

Accepted Missing value imputation method types. Controlled terminology.

Table 269 Unit definition for Missing value imputation method types.
Name Short name Aliases Description

Set zero

Set zero

Set missing values to zero.

Impute from data

Impute from data

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

No missing value imputation

No missing value imputation

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. Controlled terminology.

Table 270 Unit definition for Modelled foods calculation source types.
Name Short name Aliases 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. Controlled terminology.

Table 271 Unit definition for Month type.
Name Short name Aliases

January

Jan

Jan, Januari, 1

February

Feb

Feb, Februari, 2

March

Mar

Mar, 3

April

Apr

Apr, 4

May

May

May, 5

June

Jun

Jun, June, 6

July

Jul

Jul, July, 7

August

Aug

Aug, 8

September

Sep

Sep, Sept, 9

October

Oct

Oct, 10

November

Nov

Nov, 11

December

Dec

Dec, 12

Multiple substance handling method types

Accepted Multiple substance handling method types. Controlled terminology.

Table 272 Unit definition for Multiple substance handling method types.
Name Short name Aliases Description

Combined assessment of selected substances

Combined

Combined assessment of selected substances.

Loop over selected substances

Loop

Loop over selected substances.

Network analysis type

Accepted Network analysis types. Controlled terminology.

Table 273 Unit definition for Network analysis type.
Name Short name Aliases Description

No network analysis

No network analysis

No network analysis is applied.

Apply network analysis

Apply network analysis

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

Non-quantifications handling method types

Accepted Non-quantifications handling method types. Controlled terminology.

Table 274 Unit definition for Non-quantifications handling method types.
Name Short name Aliases Description

By zero

By zero

Non-quantifications are assumed to be zero’s (set to 0).

By f * LOR

By f * LOR

Non-quantifications are replaced by f * LOR where f is a constant.

By f * LOD or by LOD + f * (LOQ - LOD)

By f * LOD or by LOD + f * (LOQ - LOD)

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

Nondetect imputation method types

Accepted nondetect imputation method types. Controlled terminology.

Table 275 Unit definition for Nondetect imputation method types.
Name Short name Aliases Description

Replace by LOR/LOQ/LOD

ReplaceLimit

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

Impute from censoredln

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

Occurrence patterns tier types

Accepted Occurrence patterns tier types. Controlled terminology.

Table 276 Unit definition for Occurrence patterns tier types.
Name Short name Aliases Description

Custom

Custom

By setting this tier to custom, the occurence model can be configured in any way desirable (without tier specific presets). The model is fully specified by the user. Both EFSA 2012 Optimistic and EFSA 2012 Pessimistic can be specified using the custom model choice. This choice allows for a sensitivity analysis where each factor is varied, one at the time.

EC 2018 Tier 1

ComTier1

A test tier with realistic model settings.

EC 2018 Tier 2

ComTier2

A test tier with realistic model settings.

Point of departure type

Accepted point of departure types. Controlled terminology.

Table 277 Unit definition for Point of departure type.
Name Short name Aliases

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. Controlled terminology.

Table 278 Unit definition for Point of departure types.
Name Short name Aliases 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.

Processing distribution type

Accepted processing distribution types. Controlled terminology.

Table 279 Unit definition for Processing distribution type.
Name Short name Aliases Description

Logistic Normal distribution

LogisticNormal

LogisticNormal, 1

Logisticnormal distribution.

Log Normal distribution

LogNormal

LogNormal, 2

Lognormal distribution.

Property level type

Accepted property level types. Controlled terminology.

Table 280 Unit definition for Property level type.
Name Short name Aliases Description

Individual

Individual

Individual

Individual level.

IndividualDay

IndividualDay

IndividualDay

IndividualDay.

Response type

Accepted response types. Controlled terminology.

Table 281 Unit definition for Response type.
Name Short name Aliases Description

Continuous multiplicative

CM

ContinuousMultiplicative

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

Continuous additive

CA

ContinuousAdditive

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

Binary

B

Binary

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

Quantal

Q

Quantal, Binomial

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

Quantal group

QG

QuantalGroup

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

Count

C

Count

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

Ordinal

O

Ordinal

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

Risk metric types

Accepted Risk metric types. Controlled terminology.

Table 282 Unit definition for Risk metric types.
Name Short name Aliases Description

Margin of exposure

MOE

Margin of exposure (MOE).

Hazard index

HI

Hazard index (HI).

Single value dietary exposures calculation method types

Accepted Single value dietary exposures calculation method types. Controlled terminology.

Table 283 Unit definition for Single value dietary exposures calculation method types.
Name Short name Aliases Description

IESTI

IESTI

IESTI.

IESTI new

IESTI new

IESTI new.

TMDI

TMDI

Theoretical Maximum Daily Intake.

IEDI

IEDI

International Estimated Daily Intake.

Rees–Day model (I)

Rees–Day(I)

Rees–Day model (I).

Rees–Day model (II)

Rees–Day (II)

Rees–Day model (II).

Single value risk calculation method types

Accepted Single value risk calculation method types. Controlled terminology.

Table 284 Unit definition for Single value risk calculation method types.
Name Short name Aliases Description

From single value dietary exposures

From single value dietary exposures

From single value dietary exposures and hazard characterisations.

As percentile from risks distribution

As percentile

As percentile from risks distribution.

Standardise blood methods

Accepted Standardise blood methods. Controlled terminology.

Table 285 Unit definition for Standardise blood methods.
Name Short name Aliases Description

Standardise by total lipid measured via gravimetric analysis

Gravimetric

Standardise by total lipid measured via gravimetric analysis.

Standardise by total lipid measured via enzymatic summation

Enzymatic

Standardise by total lipid measured via enzymatic summation.

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

Bernert

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

Standardise/normalise urine concentration method

Accepted Standardise urine concentration methods based on creatinine. Controlled terminology.

Table 286 Unit definition for Standardise/normalise urine concentration method.
Name Short name Aliases Description

Normalise by specific gravity

SGNorm

Normalise by specific gravity.

Standardise by creatinine concentration

CreatStand

Standardise by creatinine concentration.

Substance group selection method types

Accepted Substance group selection method types. Controlled terminology.

Table 287 Unit definition for Substance group selection method types.
Name Short name Aliases 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. Controlled terminology.

Table 288 Unit definition for Substance translation allocation method types.
Name Short name Aliases Description

Random allocation

Random allocation

Random allocation.

Allocate most potent

Allocate most potent

Allocate most potent active substance.

Nominal estimate

Nominal estimate

Allocate nominal estimate (weighted average allocation).

Allocate to all

Allocate to all

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. Controlled terminology.

Table 289 Unit definition for Target dose selection method types.
Name Short name Aliases 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 doses calculation method types

Accepted Target doses calculation method types. Controlled terminology.

Table 290 Unit definition for Target doses calculation method types.
Name Short name Aliases Description

In-vivo PoDs (BMDs, NOAELs, etc.)

InVivoPods

In-vivo Points of Departures (BMDs, NOAELs, etc.).

In-vitro BMDs

InVitroBmds

In-vitro Bench Mark Doses

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

CombineInVivoPodInVitroDrms

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

Target level type

Accepted units whether a dose is assumed to be an internal or external dose. Controlled terminology.

Table 291 Unit definition for Target level type.
Name Short name Aliases Description

External

Ext

Ext

External exposure.

Internal

Int

Int

Internal exposure.

Test system type

Accepted test system types. Controlled terminology.

Table 292 Unit definition for Test system type.
Name Short name Aliases Description

In vivo

In vivo

InVivo

In vivo

Cell line

Cell line

CellLine

CellLine

Primary cells

Primary cells

PrimaryCells

PrimaryCells

Tissue

Tissue

Tissue

Tissue

Organ

Organ

Organ

Organ

Testing method types

Accepted xxx types. Controlled terminology.

Table 293 Unit definition for Testing method types.
Name Short name Aliases 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

Accepted time units. Controlled terminology.

Table 294 Unit definition for Time unit.
Name Short name Aliases Description

hours

h

Hours, h

In hours

minutes

min

Minutes, min

In minutes

Transform types

Accepted Transform types. Controlled terminology.

Table 295 Unit definition for Transform types.
Name Short name Aliases Description

Logarithmic

Logarithmic

Exposure amounts are transformed to normality using a logarithmic transformation.

No transformation

No transformation

Exposure amounts are not transformed.

Power

Power

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

Uncertainty types

Accepted Uncertainty types. Controlled terminology.

Table 296 Unit definition for Uncertainty types.
Name Short name Aliases 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. Controlled terminology.

Table 297 Unit definition for Unit variability correlation types.
Name Short name Aliases 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. Controlled terminology.

Table 298 Unit definition for Unit variability model types.
Name Short name Aliases Description

Beta distribution

Beta distribution

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

Lognormal distribution

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

Bernoulli distribution

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. Controlled terminology.

Table 299 Unit definition for Unit variability types.
Name Short name Aliases Description

Variation coefficient

Variation coefficient

Standard deviation divided by the mean.

Variability factor

Variability factor

Defined as 97.5th percentile divided by the mean.

Unit weight value type

Accepted unit weight types. Controlled terminology.

Table 300 Unit definition for Unit weight value type.
Name Short name Aliases

Unit weight raw agricultural commodity

RAC

RAC, UnitWeightRAC, UnitWeightRawAgriculturalCommodity

Unit Weight edible portion

EP

EP, UnitWeightEP, UnitWeightEdiblePortion

Value qualifier

Supported value qualifiers.

Table 301 Unit definition for Value qualifier.
Name Short name Aliases

=

=

=, Equals

<

<

lt, LessThan, <