Datasets:

ClarusC64
/

clinical-quad-population-shift-protocol-deviation-site-variance-endpoint-fragility-v0.2

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