{"id":"W4404136056","doi":"10.1016/j.cjca.2024.11.002","title":"Bayesian Analytical Methods in Cardiovascular Clinical Trials: Why, When, and How","year":2024,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Bayesian probability; Clinical trial; Intensive care medicine; Medical physics; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1044554,0.001747692,0.003652601,0.003986795,0.001260147,0.00945022,0.003650566,0.006960127,0.004175993],"category_scores_gemma":[0.2507515,0.001591671,0.002410382,0.004532382,0.01454696,0.008224067,0.003912058,0.01362197,0.003116013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004925795,"about_ca_system_score_gemma":0.009617873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005456626,"about_ca_topic_score_gemma":0.003972734,"domain_scores_codex":[0.8970995,0.08455633,0.004634348,0.003362706,0.009694103,0.0006529597],"domain_scores_gemma":[0.7889726,0.1917387,0.006134834,0.005069213,0.00708879,0.0009957727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001290199,0.00005670844,0.0007927665,0.004753687,0.0004452066,0.0001857199,0.001121466,0.01130406,0.0003072463,0.7487507,0.05314711,0.1790063],"study_design_scores_gemma":[0.00007880216,0.00006473564,0.000336123,0.003220763,0.00009036351,0.0001980842,0.0001451968,0.00973012,0.0002915529,0.9109988,0.07474018,0.000105312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000692482,0.126302,0.7833848,0.07470649,0.004551608,0.000498783,0.0003746349,0.0004166029,0.009072544],"genre_scores_gemma":[0.04270589,0.1459873,0.76858,0.02251554,0.01249072,0.002593261,0.0003495422,0.0006196816,0.004158188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1044554,"threshold_uncertainty_score":0.5524193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8144866509768289,"score_gpt":0.6700181455763807,"score_spread":0.1444685054004482,"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."}}