metadata
license: mit
language:
- en
task_categories:
- text-classification
tags:
- clarus
- clinical
- quad-coupling
- exposure
- metabolism
- comedication
- toxicity
pretty_name: Clinical Quad Exposure Metabolism CoMed Toxicity v0.2
Clinical Quad Exposure Metabolism CoMed Toxicity v0.2
What this dataset does
It tests whether a model can detect when toxicity escalation is driven by four coupled pharmacology signals.
Quad nodes
- exposure_level
- metabolic_clearance
- co_medication_load
- toxicity_signal
Labels
coherent
- stable toxicity
- low or moderate exposure
- normal or high clearance
- low or moderate co-med load
tradeoff
- mixed strain
- toxicity rising or capacity mismatch without full collapse pattern
collapse_risk
- toxicity escalating
- low clearance
- high co-med load
- moderate or high exposure
What changed in v0.2
- Version bumped so scorer updates are visible
- New scorer with validation, confusion, and error sampling
- Added rule_pred and risk_score diagnostics
Files
data/train.csv
data/test.csv
scorer.py
Run scoring
python scorer.py --preds_csv predictions.csv --gold_csv data/test.csv