{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01135723,0.0002857705,0.001101824,0.0001844012,0.0001020003,0.00003628254,0.0004710166,0.0002114283,0.0006029268],"category_scores_gemma":[0.1087153,0.0001871803,0.0000507309,0.00060601,0.0008020882,0.00008906551,0.0001334576,0.0009935489,0.000003029524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545965,"about_ca_system_score_gemma":0.0001676223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006360086,"about_ca_topic_score_gemma":0.0003110406,"domain_scores_codex":[0.9950966,0.001475619,0.001756492,0.0004768277,0.000673212,0.0005212586],"domain_scores_gemma":[0.9667728,0.03190117,0.0004334723,0.0006492859,0.0001107777,0.000132525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003273239,0.001128639,0.006262223,0.0003101361,0.00006105618,0.0002300436,0.003539346,0.000007898449,0.00003997599,0.9655089,0.000447636,0.01919092],"study_design_scores_gemma":[0.01644186,0.000326562,0.003984314,0.0002662292,0.0001187412,0.000009462376,0.0008360042,0.01932339,0.00001219512,0.9584605,0.00001276757,0.0002079734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01204937,0.00003631879,0.9748003,0.00009828417,0.001209502,0.001185848,0.00004106398,0.00003600855,0.01054332],"genre_scores_gemma":[0.1572679,0.00001259582,0.8419321,0.0001278704,0.0005522438,0.00004857761,0.000002821858,0.00004052401,0.00001534672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1452185,"threshold_uncertainty_score":0.8987923,"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."}}