Risks tiers

Overview

Table 240 Tier overview for module Risks.

Name	EC 2018 Acute - Tier I	EC 2018 Acute - Tier II	EC 2018 Chronic - Tier I	EC 2018 Chronic - Tier II	EFSA 2022 Acute Tier I	EFSA 2022 Acute Tier II	EFSA 2022 Chronic Tier I	EFSA 2022 Chronic Tier II
Multiple substances analysis	true	true	true	true	true	true	true	true
Compute cumulative risks	true	true	true	true	true	true	true	true
Health effect type	Risk	Risk	Risk	Risk	Risk	Risk	Risk	Risk
Risk metric type	MarginOfExposure	MarginOfExposure	MarginOfExposure	MarginOfExposure	MarginOfExposure	MarginOfExposure	MarginOfExposure	MarginOfExposure
Threshold safety plot	100	100	100	100	100	100	100	100
Use inverse distribution to calculate percentile	true	true	true	true	true	true	true	true
Target level	External	External	External	External	External	External	External	External
Exposure type	Acute	Acute	Chronic	Chronic	Acute	Acute	Chronic	Chronic
Inclusion percentage variability interval	99.8	99.8	99.8	99.8	99.8	99.8	99.8	99.8
Total diet study concentration data	false	false	false	false	false	false	false	false
Compute cumulative exposures	true	true	true	true	true	true	true	true
Sample based	true	true	true	true	true	true	true	true
Consumptions on the same day come from the same sample	false	false	false	false	false	false	false	false
Apply processing factors	true	true	true	true	true	true	true	true
Use distribution	false	false	false	false	false	false	false	false
Ignore processing factors less than 1	false	false	false	false	false	false	false	false
Use unit variability	true	true	true	true	true	true	true	true
Unit variability model	BetaDistribution	BetaDistribution	BetaDistribution	BetaDistribution	BetaDistribution	BetaDistribution	BetaDistribution	BetaDistribution
Estimates nature	Realistic	Realistic	Realistic	Realistic	Realistic	Realistic	Realistic	Realistic
Unit variability parameter	VariabilityFactor	VariabilityFactor	VariabilityFactor	VariabilityFactor	VariabilityFactor	VariabilityFactor	VariabilityFactor	VariabilityFactor
Model type	OIM	OIM	OIM	OIM	OIM	OIM	OIM	OIM
Model-then-add	false	false	false	false	false	false	false	false
Covariate modelling	false	false	false	false	false	false	false	false
Iterate survey	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
Default concentration model	Empirical	Empirical	Empirical	Empirical	Empirical	Empirical	Empirical	Empirical
Include MRL fallback model	false	false	false	false	false	false	false	false
Restrict LOR imputation to authorised uses	false	false	false	false	false	false	false	false
Censored values replacement	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	0.5	0.5	0.5	0.5
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	true	true	true	true	true	true	true
Correlate imputed values with sample potency	true	false	true	false	true	false	true	false
Use occurrence frequencies for imputation	true	true	true	true	true	true	true	true
Parametric uncertainty	false	false	false	false	false	false	false	false
Apply occurrence pattern percentages	false	true	false	true	false	true	false	true
Substance conversion method	UseMostToxic	DrawRandom	UseMostToxic	DrawRandom	UseMostToxic	DrawRandom	UseMostToxic	DrawRandom
Retain all allocated substances after active substance allocation	true	true	true	true	true	true	true	true
Account for substance authorisations in substance conversions	false	true	false	true	false	true	false	true
Fix duplicate substance allocation inconsistencies	false	false	false	false	false	false	false	false
Use extrapolation rules	true	true	true	true	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
Water concentration value (µg/kg)	0.1	0.05	0.1	0.05	0.1	0.05	0.1	0.05
Restrict water imputation to the five most toxic substances	true	true	true	true	true	true	true	true
Restrict water imputation to authorised uses	false	false	false	false	false	false	false	false
Restrict water imputation to approved substances	false	false	false	false	true	true	true	true
Scale up use frequency to 100%		true		true		true		true
Restrict use percentage up-scaling to authorised uses		true		true		true		true
Use substance conversion rules					true	true	true	true
Ignore sampling weights					true	true	true	true
Exclude individuals with less than N days					false	false	true	true
N (number of days in survey)					2	2	2	2

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

Table 241 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier I.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Acute
Inclusion percentage variability interval	99.8
Exposure type	Acute	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Sample based	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Ignore processing factors less than 1	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
Unit variability model	BetaDistribution	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EC 2018) - Acute / Tier I	Dietary exposures
Model type	OIM	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
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
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

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

Table 242 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier II.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Acute
Inclusion percentage variability interval	99.8
Exposure type	Acute	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Sample based	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Ignore processing factors less than 1	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
Unit variability model	BetaDistribution	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EC 2018) - Acute / Tier II	Dietary exposures
Model type	OIM	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
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
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

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

Table 243 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier I.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Chronic
Inclusion percentage variability interval	99.8
Exposure type	Chronic	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Sample based	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Ignore processing factors less than 1	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Unit variability model	BetaDistribution	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EC 2018) - Chronic / Tier I	Dietary exposures
Unit variability parameter	VariabilityFactor	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
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
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

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

Table 244 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier II.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Chronic
Inclusion percentage variability interval	99.8
Exposure type	Chronic	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Sample based	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Ignore processing factors less than 1	false	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Unit variability model	BetaDistribution	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EC 2018) - Chronic / Tier II	Dietary exposures
Unit variability parameter	VariabilityFactor	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
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
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

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

Table 245 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier I.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Acute
Inclusion percentage variability interval	99.8
Exposure type	Acute	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Ignore processing factors less than 1	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
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Dietary exposures
Model type	OIM	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
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
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
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
N (number of days in survey)	2	Retrospective dietary CRA (EFSA 2022) - Acute / Tier I	Consumptions

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

Table 246 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier II.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Acute
Inclusion percentage variability interval	99.8
Exposure type	Acute	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Ignore processing factors less than 1	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
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Unit variability parameter	VariabilityFactor	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Dietary exposures
Model type	OIM	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
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
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
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
N (number of days in survey)	2	Retrospective dietary CRA (EFSA 2022) - Acute / Tier II	Consumptions

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

Table 247 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Chronic
Inclusion percentage variability interval	99.8
Exposure type	Chronic	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I	Dietary exposures
Unit variability parameter	VariabilityFactor	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
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
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
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

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

Table 248 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II.

Name	Setting	From input tier	In module
Multiple substances analysis	true
Compute cumulative risks	true
Health effect type	Risk
Risk metric type	MarginOfExposure
Threshold safety plot	100
Use inverse distribution to calculate percentile	true
Target level	External
Exposure type	Chronic
Inclusion percentage variability interval	99.8
Exposure type	Chronic	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Total diet study concentration data	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Multiple substances analysis	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Compute cumulative exposures	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Sample based	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Consumptions on the same day come from the same sample	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Apply processing factors	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Use distribution	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Ignore processing factors less than 1	false	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Use unit variability	true	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Unit variability model	BetaDistribution	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Estimates nature	Realistic	Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II	Dietary exposures
Unit variability parameter	VariabilityFactor	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
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
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
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