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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ language:
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+ - en
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - clarus
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+ - clinical
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+ - epro
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+ - patient-reported-outcomes
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+ - quad-coupling
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+ pretty_name: Clinical Quad Coupling ePRO Compliance Device Update Notification Bias Site Coaching Governance Interim v0.1
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+ ---
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+
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+ Clarus Clinical Quad Coupling ePRO Integrity v0.1
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+
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+ What this dataset is
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+ This dataset tests whether a model can detect ePRO integrity risk driven by four interacting nodes.
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+
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+ Quad coupling nodes
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+ - Compliance drop or patterned missingness
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+ - Device or app update and reminder configuration
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+ - Site influence or coaching and backfill behavior
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+ - Governance pressure from interim reads or submission reliance
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+
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+ Input
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+ - One vignette
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+
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+ Output
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+ Return strict JSON only.
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+
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+ Required output JSON keys
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+ - epro_integrity_risk
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+ - risk_type
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+ - driver_nodes
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+ - recommended_action
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+ - action_detail
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+ - rationale
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+ - confidence
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+
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+ Files
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+ - data/train.csv
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+ - data/test.csv
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+ - scorer.py
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+
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+ Run scoring
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+ Create JSONL predictions
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+ {"id":"EPRO-T01","output":"{...your json...}"}
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+
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+ Run
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+ python scorer.py --gold_csv data/test.csv --preds_jsonl preds.jsonl