---
license: mit
language:
- en
task_categories:
- text-classification
tags:
- clarus
- clinical
- quad-coupling
- population-shift
- protocol-deviation
- site-variance
- endpoint-fragility
pretty_name: Clinical Quad Population Shift Protocol Deviation Site Variance Endpoint Fragility v0.2
---

Clinical Quad Population Shift Protocol Deviation Site Variance Endpoint Fragility v0.2

What this dataset does

It tests whether a model can detect when clinical trial endpoints lose credibility under quad coupling.

Quad nodes

- population_shift  
- protocol_deviation_rate  
- site_variance_level  
- endpoint_fragility  

Labels

0 coherent  
- Stable population  
- Low deviations  
- Low site variance  
- Endpoint robust  

1 tradeoff  
- Some drift exists  
- Endpoint still usable  
- Risk is present but not terminal  

2 collapse  
- Endpoint credibility breaks  
- Drift becomes structural  
- Site or deviation pressure overwhelms interpretation  

What changed in v0.2

- Version bumped to make scorer changes visible  
- New scorer with validation and id-based matching  
- Confusion and error sampling added  
- Risk score and rule_pred diagnostics added  

Files

data/train.csv  
data/test.csv  
scorer.py  

Run scoring

python scorer.py --preds_csv predictions.csv --gold_csv data/test.csv