ClarusC64/clinical-quad-recruitment-selection-bias-protocol-pressure-operational-drift-v0.1

Clarus Clinical Quad Coupling Recruitment Selection Bias Protocol Pressure Operational Drift v0.1

What this dataset is This dataset tests whether a model can detect recruitment and selection bias caused by four interacting nodes.

Quad coupling nodes

• —Recruitment speed or site pressure
• —Eligibility or baseline data gaps
• —Operational or staffing drift
• —Governance or milestone pressure

Input

• —One vignette

Output Return strict JSON only.

Required output JSON keys

• —recruitmentbiasrisk
• —bias_type
• —driver_nodes
• —recommended_action
• —action_detail
• —rationale
• —confidence

Files

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

Scoring

• —Required key presence
• —Bias classification
• —Bias type match
• —Driver node overlap
• —Recommended action match
• —Action detail completeness
• —Rationale length
• —Confidence within 0 to 1

Run scoring Create JSONL {"id":"RS-T01","output":"{...your json...}"}

Run python scorer.py --goldcsv data/test.csv --predsjsonl your_outputs.jsonl