{"id":"W2170153043","doi":"10.1002/sim.4244","title":"Assessing noninferiority in a three‐arm trial using the Bayesian approach","year":2011,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Bayesian probability; Parametric statistics; Computer science; Placebo; Statistical hypothesis testing; Clinical trial; Statistics; Machine learning; Medicine; Artificial intelligence; Mathematics; Alternative 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":[0.3266644,0.002078853,0.007893624,0.003915255,0.001023777,0.00365448,0.00379873,0.005776553,0.006894521],"category_scores_gemma":[0.4188997,0.001060922,0.006300828,0.002477647,0.00541848,0.005264412,0.00376122,0.006944693,0.0004809985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090676,"about_ca_system_score_gemma":0.005868628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143165,"about_ca_topic_score_gemma":0.001232502,"domain_scores_codex":[0.658263,0.3182516,0.006676872,0.005610637,0.01010233,0.00109553],"domain_scores_gemma":[0.3726606,0.5962249,0.01602582,0.01021033,0.003204044,0.001674288],"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":[0.02300872,0.001513269,0.01754034,0.004561938,0.01007012,0.00109652,0.001874327,0.229736,0.003282868,0.4209213,0.003845013,0.2825496],"study_design_scores_gemma":[0.005432709,0.003642905,0.004007972,0.0006521712,0.002050503,0.0003563406,0.0001156517,0.5982823,0.001284829,0.3812894,0.002714856,0.0001702965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03614307,0.00197975,0.9545144,0.002564355,0.0001724311,0.002240437,0.0002024626,0.0001606016,0.002022544],"genre_scores_gemma":[0.4006493,0.001581569,0.5867679,0.001620679,0.0003111949,0.00751158,0.0002369753,0.00008102307,0.001239765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6733356,"threshold_uncertainty_score":0.8303427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7454022113351202,"score_gpt":0.6058046770374885,"score_spread":0.1395975342976317,"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."}}