{"id":"W2979426392","doi":"10.1161/jaha.119.013170","title":"Mortality Benefit of Alirocumab: A Bayesian Perspective","year":2019,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Hazard ratio; Alirocumab; Medicine; Internal medicine; Bayesian probability; Proportional hazards model; Statistics; Confidence interval; Cardiology; Mathematics; Cholesterol; Apolipoprotein B","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":[],"consensus_categories":[],"category_scores_codex":[0.03812814,0.001693313,0.003102716,0.002323908,0.0007450968,0.003770307,0.003059135,0.00358189,0.00583625],"category_scores_gemma":[0.1474056,0.001475968,0.002613595,0.001029941,0.00277174,0.00394554,0.001484072,0.006957078,0.0004984589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003162223,"about_ca_system_score_gemma":0.002103776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006473872,"about_ca_topic_score_gemma":0.004804405,"domain_scores_codex":[0.9805951,0.01615807,0.0004147046,0.001305184,0.001183151,0.0003438785],"domain_scores_gemma":[0.8200787,0.1710404,0.00356389,0.001700013,0.002718147,0.0008988374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002549095,0.0003871422,0.01986832,0.002126041,0.003662776,0.001195897,0.0007091929,0.4119428,0.0009147244,0.3750767,0.01918087,0.1623865],"study_design_scores_gemma":[0.0006047437,0.0003318703,0.003147524,0.0009685187,0.00115492,0.0005214502,0.0001007581,0.3133014,0.0003352163,0.6703835,0.009041295,0.0001087774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06493556,0.04225741,0.7623383,0.0981581,0.0008049213,0.0005159759,0.002986908,0.0003549114,0.02764792],"genre_scores_gemma":[0.8331199,0.01939611,0.1216519,0.01385695,0.00483681,0.0007731125,0.001363058,0.0002203056,0.004781919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03812814,"threshold_uncertainty_score":0.2016433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009203086808896145,"score_gpt":0.2893732464148939,"score_spread":0.2801701596059978,"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."}}