ClarusC64/clinical-quad-ddi-renal-drift-conmed-change-attribution-bias-v0.2
Clinical Quad DDI Renal Drift ConMed Change Attribution Bias v0.2 What this dataset does It tests whether a model can detect when adverse event attribution becomes unreliable because pharmacology and operations drift together. The quad nodes ddi_risk renal_drift conmed_change ae_attribution_bias Labels coherent renal drift absent attribution bias low only mild DDI and conmed change tradeoff mixed strain attribution decisions become uncertain collapse_risk DDI high… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-ddi-renal-drift-conmed-change-attribution-bias-v0.2.
Clinical Quad DDI Renal Drift ConMed Change Attribution Bias v0.2
What this dataset does
It tests whether a model can detect when adverse event attribution becomes unreliable because pharmacology and operations drift together.
The quad nodes
- ddi_risk
- renal_drift
- conmed_change
- aeattributionbias
Labels
coherent
- renal drift absent
- attribution bias low
- only mild DDI and conmed change
tradeoff
- mixed strain
- attribution decisions become uncertain
collapse_risk
- DDI high
- renal drift present
- conmed change major
- attribution bias high
What changed in v0.2
- Version bumped so scorer updates are visible
- New scorer with validation, confusion, and error sampling
- Added rulepred and riskscore diagnostics
Files
data/train.csv data/test.csv scorer.py
Run scoring
python scorer.py --predscsv predictions.csv --goldcsv data/test.csv