{"id":"W4402467096","doi":"10.1016/s0140-6736(24)01295-9","title":"Bayesian statistics for clinical research","year":2024,"lang":"en","type":"review","venue":"The Lancet","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Toronto General Hospital; Toronto Rehabilitation Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Heart, Lung, and Blood Institute; National Sanitarium Association","keywords":"Bayesian probability; Bayesian statistics; Statistics; Econometrics; Computer science; Bayesian inference; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00325503,0.000227339,0.001556087,0.00007019629,0.00005803084,0.0001030607,0.0008531043,0.0002757089,0.0001265907],"category_scores_gemma":[0.000315872,0.0001325855,0.0002836237,0.0002511786,0.00006582122,0.0000183734,0.00009747977,0.001352707,0.0009531894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005913154,"about_ca_system_score_gemma":0.00009501911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001178227,"about_ca_topic_score_gemma":0.000008004771,"domain_scores_codex":[0.9980742,0.000272818,0.0006285119,0.0002838548,0.0002696896,0.0004708743],"domain_scores_gemma":[0.9970652,0.001850268,0.00004158122,0.000903166,0.0000450361,0.00009476779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[9.253581e-7,0.000002845122,5.398015e-7,0.02747058,0.0001559054,0.000009475083,0.000006549317,0.000001091846,4.989705e-9,0.005720201,0.5596435,0.4069884],"study_design_scores_gemma":[0.00005655124,0.00001940395,4.518392e-7,0.002613495,0.000462187,0.000006875573,0.000002747907,0.001750545,4.078861e-8,0.005126104,0.9898065,0.0001551477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.726567e-8,0.9893739,0.00576383,0.00008267305,0.001275141,0.0008276341,0.0009766353,0.0002513372,0.001448748],"genre_scores_gemma":[0.000003434247,0.9937073,0.001545482,0.00006830636,0.003794586,0.0002558097,0.0001336097,0.0001281502,0.0003633129],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4301629,"threshold_uncertainty_score":0.9998247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4128613025830584,"score_gpt":0.5158508447742962,"score_spread":0.1029895421912378,"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."}}