trial_id stringclasses 10
values | exposure_level stringclasses 3
values | metabolic_clearance stringclasses 3
values | co_medication_load stringclasses 3
values | toxicity_signal stringclasses 3
values | label stringclasses 3
values | signal stringclasses 10
values |
|---|---|---|---|---|---|---|
T201 | high | low | high | escalating | collapse_risk | High exposure with low clearance plus high co-med load and escalating toxicity. |
T202 | moderate | normal | low | stable | coherent | Moderate exposure with normal clearance and low co-med load with stable toxicity. |
T203 | high | normal | high | rising | tradeoff | High exposure and high co-med load with rising toxicity but clearance normal. |
T204 | low | high | moderate | stable | coherent | Low exposure with high clearance and moderate co-med load with stable toxicity. |
T205 | moderate | low | high | escalating | collapse_risk | Moderate exposure with low clearance and high co-med load with escalating toxicity. |
T206 | high | high | low | stable | tradeoff | High exposure with high clearance and low co-med load with stable toxicity. |
T207 | moderate | normal | moderate | rising | tradeoff | Moderate signals with rising toxicity creates strain. |
T208 | low | normal | high | rising | tradeoff | Low exposure but high co-med load and rising toxicity. |
T209 | high | low | moderate | escalating | collapse_risk | High exposure with low clearance and escalating toxicity under moderate co-med load. |
T210 | moderate | high | low | stable | coherent | Moderate exposure with high clearance and low co-med load with stable toxicity. |
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
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