{"id":"W3021372031","doi":"10.1016/j.cjca.2020.04.025","title":"Bayesian Clinical Trials: The Art of Moving Forward While Looking Back","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill Genome Centre; McGill University Health Centre","funders":"","keywords":"Medicine; Coronary artery disease; Dyslipidemia; Test (biology); Stress testing (software); Family history; Disease; Stress test; Medical history; Diabetes mellitus; Internal medicine; Cardiology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1059298,0.001576137,0.007115389,0.002631641,0.00489546,0.01515374,0.005886123,0.06886999,0.009604022],"category_scores_gemma":[0.3731153,0.001642592,0.003001718,0.002703873,0.01814819,0.02580157,0.004429446,0.1044512,0.006197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008783177,"about_ca_system_score_gemma":0.01288521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0057404,"about_ca_topic_score_gemma":0.007670885,"domain_scores_codex":[0.9049782,0.06633814,0.008598333,0.005318874,0.01297965,0.001786794],"domain_scores_gemma":[0.464441,0.4654955,0.01228174,0.00976228,0.03240861,0.01561083],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004359197,0.0001088061,0.00114997,0.0009804432,0.0003624193,0.0009770681,0.0007051618,0.0005304739,0.0002026841,0.04528868,0.8707451,0.07851316],"study_design_scores_gemma":[0.001026848,0.0001689543,0.00079981,0.004587893,0.0002831102,0.001243464,0.0009126424,0.002421564,0.0001842601,0.509958,0.4781426,0.0002709611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006274189,0.006147633,0.0007505674,0.9868974,0.00555715,0.000007808925,0.00002526294,0.00001352478,0.0005379489],"genre_scores_gemma":[0.004076091,0.008989676,0.004561824,0.8796276,0.1018536,0.00008193386,0.00002894011,0.00005427995,0.0007258782],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8940702,"threshold_uncertainty_score":0.5602171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08620145312491839,"score_gpt":0.336793719350013,"score_spread":0.2505922662250946,"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."}}