Risks tiers

Overview

Table 355 Tier overview for module Risks.

Name	EC 2018 Acute Tier I	EC 2018 Chronic - Tier I	EC 2018 Acute Tier II	EC 2018 Chronic Tier II	EFSA 2012 Optimistic	EFSA 2012 Acute Pessimistic	EFSA 2012 Chronic Pessimistic	EFSA 2022 Acute Tier I	EFSA 2022 Chronic Tier I	EFSA 2022 Acute Tier II	EFSA 2022 Chronic Tier II	EFSA 2023 Acute Prospective Tier II	EFSA 2023 Chronic Prospective Tier II
Compute cumulative risks	true	true	true	true	true	true	true	true	true	true	true	true	true
Health effect type	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk
Risk characterisation ratio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio	HazardExposureRatio
Risk threshold	100	100	100	100	100	100	100	100	100	100	100	100	100
Use inverse distribution to calculate percentile	true	true	true	true	true	true	true	true	true	true	true	true	true
Exposure calculation method	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration	ModelledConcentration
Inclusion percentage variability interval	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8
Consumptions on the same day come from the same sample	false	false	false	false	false	true	true	false	false	false	false	false	false
Use unit variability	true		true		false	true		true		true		true
Model-then-add	false	false	false	false	false		false	false	false	false	false	false	false
Covariate modelling	false	false	false	false	false	false	false	false	false	false	false	false	false
Iterate survey	false	false	false	false	false	false	false	false	false	false	false	false	false
Report consumptions and exposures per individual instead of per kg body weight	false	false	false	false	false	false	false	false	false	false	false	false	false
Ignore sampling weights	true	true	true	true				true	true	true	true	true	true
Exclude individuals with less than N days	false	true	false	true				false	true	false	true	false	true
Total diet study concentration data	false	false	false	false	false		false	false	false	false	false	false	false
Filter samples exceeding the concentration limits	false	false	false	false		false	false	false	false	false	false	true	true
Use substance conversion rules	true	true	true	true				true	true	true	true	true	true
Substance conversion method	UseMostToxic	UseMostToxic	DrawRandom	DrawRandom				UseMostToxic	UseMostToxic	DrawRandom	DrawRandom	DrawRandom	DrawRandom
Retain all allocated substances after active substance allocation	true	true	true	true				true	true	true	true	true	true
Account for substance authorisations in substance conversions	false	false	true	true				false	false	true	true	true	true
Fix duplicate substance allocation inconsistencies	false	false	false	false				false	false	false	false	false	false
Use extrapolation rules	true	true	true	true				false	false	false	false	false	false
Threshold for extrapolation	10	10	10	10
Restrict extrapolations to equal MRLs	true	true	true	true
Restrict extrapolations to authorised uses	true	true	true	true
Impute water concentrations	true	true	true	true				true	true	true	true	true	true
Water concentration value (µg/kg)	0.1	0.1	0.05	0.05				0.1	0.1	0.05	0.05	0.05	0.05
Restrict water imputation to the five most toxic substances	true	true	true	true				true	true	true	true	true	true
Restrict water imputation to authorised uses	false	false	false	false				false	false	false	false	false	false
Restrict water imputation to approved substances	false	false	false	false				true	true	true	true	true	true
Apply processing factors	true	true	true	true	true	true	true	true	true	true	true	true	true
Use distribution	false	false	false	false	false	false	false	false	false	false	false	false	false
Ignore processing factors less than 1	false	false	false	false	false	true	true	false	false	false	false	false	false
Default concentration model	Empirical	Empirical	Empirical	Empirical	Empirical	NonDetectSpikeLogNormal	NonDetectSpikeLogNormal	Empirical	Empirical	Empirical	Empirical	Empirical	Empirical
Include MRL fallback model	false	false	false	false	false	true	true	false	false	false	false	false	false
Restrict LOR imputation to authorised uses	false	false	false	false		false	false	false	false	false	false	false	false
Censored values replacement	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByZero	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	0.5	0.5	0.5		1	1	0.5	0.5	0.5	0.5	0.5	0.5
Sample based	true	true	true	true	true	true	true	true	true	true	true	true	true
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	true	true	true	false	true	true	true	true	true	true	true	true
Correlate imputed values with sample potency	true	true	false	false	false	true	true	true	true	false	false	false	false
Use occurrence frequencies for imputation	true	true	true	true	false			true	true	true	true	true	true
Parametric uncertainty	false	false	false	false	false	true	false	false	false	false	false	false	false
Apply occurrence pattern percentages	false	false	true	true				false	false	true	true	true	true
Target level	External	External	External	External	External	External	External	External	External	External	External	External	External
Unit variability model	BetaDistribution		BetaDistribution			BetaDistribution		BetaDistribution		BetaDistribution		BetaDistribution
Estimates nature	Realistic		Realistic			Realistic		Realistic		Realistic		Realistic
Unit variability parameter	VariabilityFactor		VariabilityFactor			VariabilityFactor		VariabilityFactor		VariabilityFactor		VariabilityFactor
Model type		OIM		OIM	OIM		OIM		OIM		OIM		OIM
N (number of days in survey)		2		2					2		2		2
Scale up use frequency to 100%			true	true						true	true	true	true
Restrict use percentage up-scaling to authorised uses			true	true						true	true	true	true
MRL Factor (f x MRL)						1	1
Cumulation setting												RPFWeighted	RPFWeighted
Concentration limit filter exceedance factor												2	2
Include focal commodity concentrations												true	true
Focal commodity substance occurrence percentage												20	20
Adjustment factor for the focal food/substance concentration												1	1
Use deterministic substance conversions for focal commodity												true	true

Retrospective dietary CRA (EC 2018) - Acute / Tier I

Table 356 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier I.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Consumptions
Exclude individuals with less than N days	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Substance conversion method	UseMostToxic	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Account for substance authorisations in substance conversions	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Use extrapolation rules	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Threshold for extrapolation	10	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Restrict extrapolations to equal MRLs	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Restrict extrapolations to authorised uses	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Water concentration value (µg/kg)	0.1	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Restrict water imputation to approved substances	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Processing factors
Use distribution	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Sample based	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Correlate imputed values with sample potency	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Concentration models
Apply occurrence pattern percentages	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Occurrence patterns
Target level	External	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Hazard characterisations
Unit variability model	BetaDistribution	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Unit variability factors
Estimates nature	Realistic	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Unit variability factors
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Unit variability factors

Retrospective dietary CRA (EC 2018) - Chronic / Tier I

Table 357 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier I.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Model type	OIM	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Consumptions
Exclude individuals with less than N days	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Consumptions
N (number of days in survey)	2	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Substance conversion method	UseMostToxic	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Account for substance authorisations in substance conversions	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Use extrapolation rules	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Threshold for extrapolation	10	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Restrict extrapolations to equal MRLs	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Restrict extrapolations to authorised uses	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Water concentration value (µg/kg)	0.1	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Restrict water imputation to approved substances	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Processing factors
Use distribution	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Sample based	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Correlate imputed values with sample potency	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Concentration models
Apply occurrence pattern percentages	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Occurrence patterns
Target level	External	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Hazard characterisations

Retrospective dietary CRA (EC 2018) - Acute / Tier II

Table 358 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier II.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Consumptions
Exclude individuals with less than N days	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Substance conversion method	DrawRandom	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Account for substance authorisations in substance conversions	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Use extrapolation rules	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Threshold for extrapolation	10	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Restrict extrapolations to equal MRLs	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Restrict extrapolations to authorised uses	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Water concentration value (µg/kg)	0.05	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Restrict water imputation to approved substances	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Processing factors
Use distribution	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Sample based	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Correlate imputed values with sample potency	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Concentration models
Apply occurrence pattern percentages	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Occurrence patterns
Scale up use frequency to 100%	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Occurrence patterns
Target level	External	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Hazard characterisations
Unit variability model	BetaDistribution	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Unit variability factors
Estimates nature	Realistic	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Unit variability factors
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Unit variability factors

Retrospective dietary CRA (EC 2018) - Chronic / Tier II

Table 359 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier II.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Model type	OIM	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Consumptions
Exclude individuals with less than N days	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Consumptions
N (number of days in survey)	2	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Substance conversion method	DrawRandom	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Account for substance authorisations in substance conversions	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Use extrapolation rules	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Threshold for extrapolation	10	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Restrict extrapolations to equal MRLs	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Restrict extrapolations to authorised uses	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Water concentration value (µg/kg)	0.05	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Restrict water imputation to approved substances	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Processing factors
Use distribution	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Sample based	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Correlate imputed values with sample potency	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Concentration models
Apply occurrence pattern percentages	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Occurrence patterns
Scale up use frequency to 100%	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Occurrence patterns
Target level	External	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Hazard characterisations

Retrospective dietary CRA (EFSA 2012) - Optimistic

Use the optimistic model settings according to the EFSA Guidance 2012. Concentration values are sampled using a sample-based empirical distribution. Available processing factors are applied. No unit variability model should be applied.

Table 360 Tier definition for Retrospective dietary CRA (EFSA 2012) - Optimistic.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Use unit variability	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Model type	OIM	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Food conversions
Apply processing factors	true	Retrospective dietary CRA (EFSA 2012) - Optimistic	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Censored values replacement	ReplaceByZero	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Correlate imputed values with sample potency	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Use occurrence frequencies for imputation	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EFSA 2012) - Optimistic	Concentration models
Target level	External	Retrospective dietary CRA (EFSA 2012) - Optimistic	Hazard characterisations

Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic

Acute probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta distribution is applied.

Table 361 Tier definition for Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Dietary exposures
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Processing factors
Ignore processing factors less than 1	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Processing factors
Default concentration model	NonDetectSpikeLogNormal	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Include MRL fallback model	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	1	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
MRL Factor (f x MRL)	1	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Correlate imputed values with sample potency	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Parametric uncertainty	true	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Concentration models
Target level	External	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Hazard characterisations
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Unit variability factors
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Unit variability factors
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic	Unit variability factors

Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic

Chronic probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied.

Table 362 Tier definition for Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Dietary exposures
Model type	OIM	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Processing factors
Ignore processing factors less than 1	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Processing factors
Default concentration model	NonDetectSpikeLogNormal	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Include MRL fallback model	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	1	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
MRL Factor (f x MRL)	1	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Correlate imputed values with sample potency	true	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Concentration models
Target level	External	Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic	Hazard characterisations

Retrospective dietary CRA (EFSA 2022) - Acute / Tier I

Table 363 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier I.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Consumptions
Exclude individuals with less than N days	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Substance conversion method	UseMostToxic	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Account for substance authorisations in substance conversions	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Use extrapolation rules	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Water concentration value (µg/kg)	0.1	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Restrict water imputation to approved substances	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Correlate imputed values with sample potency	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Concentration models
Apply occurrence pattern percentages	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Occurrence patterns
Target level	External	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Hazard characterisations
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Unit variability factors
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Unit variability factors
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Unit variability factors

Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I

Table 364 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Model type	OIM	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Consumptions
Exclude individuals with less than N days	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Consumptions
N (number of days in survey)	2	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Substance conversion method	UseMostToxic	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Account for substance authorisations in substance conversions	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Use extrapolation rules	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Water concentration value (µg/kg)	0.1	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Restrict water imputation to approved substances	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Correlate imputed values with sample potency	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Concentration models
Apply occurrence pattern percentages	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Occurrence patterns
Target level	External	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Hazard characterisations

Retrospective dietary CRA (EFSA 2022) - Acute / Tier II

Table 365 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier II.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Consumptions
Exclude individuals with less than N days	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Substance conversion method	DrawRandom	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Account for substance authorisations in substance conversions	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Use extrapolation rules	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Water concentration value (µg/kg)	0.05	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Restrict water imputation to approved substances	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Correlate imputed values with sample potency	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Concentration models
Apply occurrence pattern percentages	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Occurrence patterns
Scale up use frequency to 100%	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Occurrence patterns
Target level	External	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Hazard characterisations
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Unit variability factors
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Unit variability factors
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Unit variability factors

Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II

Table 366 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Model type	OIM	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Model-then-add	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Covariate modelling	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Iterate survey	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Ignore sampling weights	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Consumptions
Exclude individuals with less than N days	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Consumptions
N (number of days in survey)	2	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Consumptions
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Food conversions
Filter samples exceeding the concentration limits	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Use substance conversion rules	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Substance conversion method	DrawRandom	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Account for substance authorisations in substance conversions	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Use extrapolation rules	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Impute water concentrations	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Water concentration value (µg/kg)	0.05	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Restrict water imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Restrict water imputation to approved substances	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentrations
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Processing factors
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Processing factors
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Processing factors
Default concentration model	Empirical	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Include MRL fallback model	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Censored values replacement	ReplaceByLOR	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Correlate imputed values with sample potency	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Use occurrence frequencies for imputation	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Parametric uncertainty	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Concentration models
Apply occurrence pattern percentages	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Occurrence patterns
Scale up use frequency to 100%	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Occurrence patterns
Target level	External	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Hazard characterisations

Prospective dietary CRA (EFSA 2023) - Acute / Tier II

Table 367 Tier definition for Prospective dietary CRA (EFSA 2023) - Acute / Tier II.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Cumulation setting	RPFWeighted
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Dietary exposures
Use unit variability	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Dietary exposures
Model-then-add	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Dietary exposures
Covariate modelling	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Dietary exposures
Iterate survey	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Dietary exposures
Ignore sampling weights	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Consumptions
Exclude individuals with less than N days	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Consumptions
Total diet study concentration data	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Food conversions
Filter samples exceeding the concentration limits	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Concentration limit filter exceedance factor	2	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Use substance conversion rules	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Substance conversion method	DrawRandom	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Account for substance authorisations in substance conversions	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Use extrapolation rules	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Impute water concentrations	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Water concentration value (µg/kg)	0.05	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Restrict water imputation to authorised uses	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Restrict water imputation to approved substances	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Include focal commodity concentrations	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Focal commodity substance occurrence percentage	20	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Adjustment factor for the focal food/substance concentration	1	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Use deterministic substance conversions for focal commodity	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentrations
Apply processing factors	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Processing factors
Use distribution	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Processing factors
Ignore processing factors less than 1	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Processing factors
Default concentration model	Empirical	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Include MRL fallback model	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Censored values replacement	ReplaceByLOR	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Sample based	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Correlate imputed values with sample potency	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Use occurrence frequencies for imputation	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Parametric uncertainty	false	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Concentration models
Apply occurrence pattern percentages	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Occurrence patterns
Scale up use frequency to 100%	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Occurrence patterns
Target level	External	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Hazard characterisations
Unit variability model	BetaDistribution	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Unit variability factors
Estimates nature	Realistic	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Unit variability factors
Unit variability parameter	VariabilityFactor	Prospective dietary CRA (EFSA 2023) - Acute / Tier II	Unit variability factors

Prospective dietary CRA (EFSA 2023) - Chronic / Tier II

Table 368 Tier definition for Prospective dietary CRA (EFSA 2023) - Chronic / Tier II.

Name	Setting	From input tier	In module
Compute cumulative risks	true
Health effect type	Risk
Risk characterisation ratio	HazardExposureRatio
Risk threshold	100
Use inverse distribution to calculate percentile	true
Exposure calculation method	ModelledConcentration
Cumulation setting	RPFWeighted
Inclusion percentage variability interval	99.8
Consumptions on the same day come from the same sample	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Dietary exposures
Model type	OIM	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Dietary exposures
Model-then-add	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Dietary exposures
Covariate modelling	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Dietary exposures
Iterate survey	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Dietary exposures
Ignore sampling weights	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Consumptions
Exclude individuals with less than N days	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Consumptions
N (number of days in survey)	2	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Consumptions
Total diet study concentration data	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Food conversions
Filter samples exceeding the concentration limits	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Concentration limit filter exceedance factor	2	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Use substance conversion rules	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Substance conversion method	DrawRandom	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Account for substance authorisations in substance conversions	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Use extrapolation rules	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Impute water concentrations	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Water concentration value (µg/kg)	0.05	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Restrict water imputation to authorised uses	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Restrict water imputation to approved substances	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Include focal commodity concentrations	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Focal commodity substance occurrence percentage	20	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Adjustment factor for the focal food/substance concentration	1	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Use deterministic substance conversions for focal commodity	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentrations
Apply processing factors	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Processing factors
Use distribution	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Processing factors
Ignore processing factors less than 1	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Processing factors
Default concentration model	Empirical	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Include MRL fallback model	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Censored values replacement	ReplaceByLOR	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Sample based	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Correlate imputed values with sample potency	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Use occurrence frequencies for imputation	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Parametric uncertainty	false	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Concentration models
Apply occurrence pattern percentages	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Occurrence patterns
Scale up use frequency to 100%	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Occurrence patterns
Target level	External	Prospective dietary CRA (EFSA 2023) - Chronic / Tier II	Hazard characterisations