---
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