{"id":"W2071158082","doi":"10.1177/0962280207081606","title":"Stratified and randomized play-the-winner rule","year":2008,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Randomized controlled trial; Confounding; Computer science; Selection (genetic algorithm); Selection bias; Medicine; Statistics; Artificial intelligence; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.08761978,0.001674325,0.00490498,0.001584869,0.0009323645,0.00233577,0.003727459,0.002629422,0.006871785],"category_scores_gemma":[0.1671914,0.0009038036,0.00225966,0.001287954,0.003243326,0.00391518,0.002346435,0.004781551,0.002359074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185362,"about_ca_system_score_gemma":0.0039093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006102814,"about_ca_topic_score_gemma":0.0006091781,"domain_scores_codex":[0.8736617,0.1000475,0.005127415,0.006289809,0.01349001,0.001383452],"domain_scores_gemma":[0.8881854,0.09094414,0.006025929,0.00826977,0.004987773,0.001586922],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003717496,0.000321284,0.003179344,0.001053922,0.0009024254,0.0003679082,0.0004157232,0.05943311,0.001552335,0.6453685,0.009722911,0.2739651],"study_design_scores_gemma":[0.0020997,0.001349461,0.0006470926,0.0003392425,0.0003283117,0.000556813,0.00005045638,0.2358946,0.002445486,0.7396606,0.01648808,0.0001401598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006113477,0.0008299885,0.9868256,0.001013915,0.0004111061,0.001182589,0.0002281394,0.0001841621,0.003211065],"genre_scores_gemma":[0.2021375,0.00122871,0.7808911,0.002758149,0.0006668777,0.006535315,0.0005351001,0.0001626736,0.005084752],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9123802,"threshold_uncertainty_score":0.4633833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7300653694511776,"score_gpt":0.7097057590069843,"score_spread":0.02035961044419332,"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."}}