Concentration models tiers
In addition to the possibility for users to work with their own choices for all settings, MCRA implements four tiers from two documents:
The optimistic and pessimistic basic assessments from the EFSA 2012 Guidance on the Use of Probabilistic Methodology for Modelling Dietary Exposure to Pesticide Residues (EFSA (2012)).
Tier 1 and 2 from the European Commission working document SANTE-2015-10216 rev. 7 (2018) on risk management aspects related to the assessment of cumulative exposure (EC (2018)).
Overview
Name | EFSA 2012 Optimistic | EFA 2012 Acute Pessimistic | EFA 2012 Chronic Pessimistic | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Default concentration model |
Empirical |
NonDetectSpikeLogNormal |
NonDetectSpikeLogNormal |
Empirical |
Empirical |
Empirical |
Empirical |
Empirical |
Empirical |
Empirical |
Empirical |
Include MRL fallback model |
false |
true |
true |
false |
false |
false |
false |
false |
false |
false |
false |
Censored values replacement |
ReplaceByZero |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
Sample based |
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) |
false |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
Correlate imputed values with sample potency |
false |
true |
true |
true |
false |
true |
false |
true |
false |
true |
false |
Use occurrence frequencies for imputation |
false |
true |
true |
true |
true |
true |
true |
true |
true |
||
Parametric uncertainty |
false |
true |
false |
false |
false |
false |
false |
false |
false |
false |
false |
Restrict LOR imputation to authorised uses |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
|
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
1 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
|
MRL Factor (f x MRL) |
1 |
1 |
|||||||||
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 |
The sections below describe the settings specified by each tier in detail.
Retrospective dietary CRA (EFSA 2012) - Optimistic
Concentration model settings according to the optimistic scenario of the EFSA 2012 methodology for dietary exposure assessments. Censored values and missing values are replaced by zero.
Name | Setting |
---|---|
Default concentration model |
Empirical |
Include MRL fallback model |
false |
Censored values replacement |
ReplaceByZero |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
false |
Correlate imputed values with sample potency |
false |
Use occurrence frequencies for imputation |
false |
Parametric uncertainty |
false |
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Concentration model settings according to the pessimistic scenario of the EFSA 2012 methodology for acute dietary exposure assessments. A censored value spike lognormal model is fitted to the positive residue values and censored values are replaced by the LOR. When the number of positives is smaller than 2, the maximum residue limit (if available) is used instead. Missing values are imputed.
Name | Setting |
---|---|
Default concentration model |
NonDetectSpikeLogNormal |
Include MRL fallback model |
true |
Restrict LOR imputation to authorised uses |
false |
Censored values replacement |
ReplaceByLOR |
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
MRL Factor (f x MRL) |
1 |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
true |
Correlate imputed values with sample potency |
true |
Parametric uncertainty |
true |
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Concentration model settings according to the pessimistic scenario of the EFSA 2012 methodology for chronic dietary exposure assessments. A censored value spike lognormal model is fitted to the positive residue values and censored values are replaced by the LOR. When the number of positives is smaller than 2, the maximum residue limit (if available) is used instead. Missing values are imputed.
Name | Setting |
---|---|
Default concentration model |
NonDetectSpikeLogNormal |
Include MRL fallback model |
true |
Restrict LOR imputation to authorised uses |
false |
Censored values replacement |
ReplaceByLOR |
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
MRL Factor (f x MRL) |
1 |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
true |
Correlate imputed values with sample potency |
true |
Parametric uncertainty |
false |
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | true | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | false | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | true | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | false | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | true | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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 |
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | false | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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 |
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | true | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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 |
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | false | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
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 |