{"id":"W2126202563","doi":"10.1001/jama.294.17.2203","title":"Randomized Trials Stopped Early for Benefit","year":2005,"lang":"en","type":"article","venue":"JAMA","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Randomized controlled trial; Medicine; Computer science; 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":["metaresearch"],"category_scores_codex":[0.3297806,0.003899191,0.01447095,0.007877012,0.002460052,0.01460911,0.005624974,0.0154099,0.02628086],"category_scores_gemma":[0.6514539,0.003399568,0.01322998,0.006357871,0.006956713,0.01755475,0.005038403,0.01770617,0.005665813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008753767,"about_ca_system_score_gemma":0.01538423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006734914,"about_ca_topic_score_gemma":0.001059968,"domain_scores_codex":[0.3644545,0.4579352,0.1138886,0.0207465,0.03932243,0.003652768],"domain_scores_gemma":[0.2513092,0.5699735,0.09040202,0.05344564,0.03049379,0.004375943],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02905063,0.0006487761,0.006054916,0.2916209,0.02913857,0.001040425,0.003553493,0.001974199,0.001419627,0.1187306,0.1045255,0.4122423],"study_design_scores_gemma":[0.03298891,0.003678243,0.006256584,0.3238188,0.01755663,0.001116633,0.0007551283,0.003411076,0.004085458,0.2152121,0.3906498,0.00047059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01563261,0.4487486,0.1407201,0.1394638,0.1057831,0.09515691,0.01063418,0.002578131,0.04128266],"genre_scores_gemma":[0.1895548,0.1254088,0.247531,0.2262463,0.03434513,0.153826,0.004922328,0.001572113,0.0165934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6702194,"threshold_uncertainty_score":0.8264998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0524793690001787,"score_gpt":0.3401806896051274,"score_spread":0.2877013206049487,"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."}}