Assessment group membership probabilities
Introduction
The goal of this exercise is to assess group membership probabilities.
Preparation
If you haven’t done so, in the workspace browser (use the  icon), create a new workspace named Examples, using the .
The data files used in the example(s) in this section, are located in the data folder Documentation-Examples / Exercise Dietary Exposure Assessment.
Example 1
- In the Examples workspace, create a new action (using ) - Then select Dietary exposures 
- Name it Dietary exposures 
- Use as Dietary exposures settings - Tier: EFSA Guidance Optimistic 
- Risk type Chronic 
- Select  Cumulative 
 
- Press Create 
 
- Then go to the actions settings  of this action (path: Dietary exposures) - At Scope, click Foods (path: Dietary exposures / Foods) - At Foods data source with  browse to the file UserGroupDemo-Foods.xlsx and Select 
- In the green navigation bar, click Dietary exposures to go up one level 
 
- At Scope, click Substances (path: Dietary exposures / Substances) - At Substances data source with  browse to the file UserGroupDemo-Substances.xlsx and Select 
- At Substance settings for Index substance select Cyproconazole and press  Save Changes 
- In the green navigation bar, click Dietary exposures to go up one level 
 
- At Scope, click Effects (path: Dietary exposures / Effects) - At Effects data source with  browse to the file Effect - Steatosis.xlsx and Select 
- At Effect Settings for focal effect select Steatosis-liver and press  Save Changes 
- In the green navigation bar, click Dietary exposures to go up one level. 
 
- At Inputs, click Consumptions by modelled food (path: Dietary exposures / Consumptions by modelled food) - At Inputs, click Consumptions (path: Dietary exposures / Consumptions by modelled food / Consumptions) - At Consumptions data source with  browse to the file UserGroupDemo-Consumptions.xlsx and Select 
- At Consumption settings for Food survey select DNFCS_2003 and press  Save Changes 
- In the green navigation bar, click Consumptions by modelled food to go up one level 
 
- At Inputs, click Food conversions (path: Dietary exposures / Consumptions by modelled food / Food conversions) - At Inputs, click Modelled foods (path: Dietary exposures / Consumptions by modelled food / Food conversions / Modelled foods) - At Inputs, click Concentrations (path: Dietary exposures / Consumptions by modelled food / Food conversions / Modelled foods / Concentrations) - At Concentrations data source with  browse to the file UserGroupDemo-ConcentrationData.xlsx and Select 
- In the green navigation bar, click Food conversions to go up two levels 
 
 
- At Inputs, click Food recipes (path: Dietary exposures / Consumptions by modelled food / Food Food recipes) - At Food recipes data source, with  browse to the file UserGroupDemo-FoodRecipes.xlsx 
- In the green navigation bar, click Dietary exposures to go up three levels 
 
 
 
- At Inputs, click Concentration models (path: Dietary exposures / Concentration models) - At Inputs, click Relative potency factors (path: Dietary exposures / Concentration models / Relative potency factors) - At Relative potency data source with  browse to the file UserGroupDemo-RelativePotencyFactors.xlsx and Select 
- In the green navigation bar, click Dietary exposures to go up two levels 
 
 
- At Inputs, click Processing factors (path: Dietary exposures / Processing factors) - At Processing factors data source with  browse to the file UserGroupDemo-ProcessingFactors.xlsx and Select 
- In the green navigation bar, click Dietary exposures to go up one level 
 
- At Inputs, click Active substances (optional) (path: Dietary exposures / Active substances) - At Inputs, click Points of departure (path: Dietary exposures / Active substances / Points of departure) - At Points of departure data source, with  browse to the file HazardDoses - Triazoles.xlsx 
- In the green navigation bar, click Dietary exposures to go up two levels 
 
 
 
- Now run the model, by pressing the  run icon in the grey bar. 
Try to find the following results:
Exposure percentiles daily intakes
Substance with highest contribution to the total exposure distribution
The food-as-measured with the highest contribution to the upper tail of the exposure distribution
Example 2
Repeat the run of the previous task, but instead of the nominal run, now do an uncertainty analysis loop.
- Click on the  icon (in the grey bar) to open the uncertainty settings panel, and check  Perform uncertainty analysis - For Monte Carlo iterations per uncertainty run choose 100, and press  Save Changes 
 
- Now run the model, by pressing the  run icon in the grey bar. 
Compare with the previous results, to find:
Exposure percentiles daily intakes with uncertainty bounds
Substance with highest contribution to the total exposure distribution
The food-as-measured with the highest contribution to the upper tail of the exposure distribution