{"id":"W2900570413","doi":"10.1161/circulationaha.117.026229","title":"Composite End Points in Clinical Research","year":2017,"lang":"en","type":"review","venue":"Circulation","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre","funders":"","keywords":"Medicine; Clinical trial; Event (particle physics); Intensive care medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0322026,0.00153951,0.003852644,0.006233161,0.0004130329,0.003997141,0.002139219,0.002537728,0.005366881],"category_scores_gemma":[0.04307368,0.0005840774,0.001982907,0.007546912,0.004157203,0.0036184,0.002784179,0.006446807,0.001926316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947118,"about_ca_system_score_gemma":0.005772891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009754954,"about_ca_topic_score_gemma":0.001246063,"domain_scores_codex":[0.9809497,0.01190153,0.002284362,0.0009037573,0.003720134,0.000240499],"domain_scores_gemma":[0.9515556,0.04173257,0.002325419,0.00154026,0.002420288,0.0004259523],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000161389,0.00007641521,0.0005044392,0.04795379,0.0007275746,0.00004767416,0.0002028525,0.001278577,0.0001758159,0.1080212,0.02540903,0.8154413],"study_design_scores_gemma":[0.0002005971,0.0003415799,0.002393195,0.06010488,0.0007676285,0.0006662101,0.0002771625,0.001343244,0.0004193992,0.2470153,0.6863686,0.0001023476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001058722,0.9900727,0.00509264,0.002197421,0.0009262336,0.00006397847,0.00005104692,0.00002185605,0.001468267],"genre_scores_gemma":[0.003466335,0.9825724,0.00884396,0.002035443,0.002115232,0.0002911798,0.00008931827,0.00002463849,0.0005614346],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9677974,"threshold_uncertainty_score":0.1703057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9668561325273701,"score_gpt":0.7787165620159249,"score_spread":0.1881395705114453,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}