{"id":"W3004839765","doi":"10.1101/2020.01.29.20019521","title":"A genetic model of ivabradine recapitulates results from randomized clinical trials","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Heart rate and cardiovascular health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; Amarin Corporation; Medical Research Council; Sanofi; GlaxoSmithKline; Servier; Université de Montréal; Pfizer; AstraZeneca; UK Research and Innovation; Eli Lilly and Company","keywords":"Ivabradine; Medicine; Internal medicine; Cardiology; Atrial fibrillation; Heart failure; Myocardial infarction; Hazard ratio; Mendelian randomization; Clinical endpoint; Heart rate; Randomized controlled trial; Confidence interval; Genetic variants; Blood pressure; Genetics; Genotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1031566,0.00219315,0.004642827,0.002441174,0.0006636492,0.003465513,0.003827688,0.003880926,0.0136713],"category_scores_gemma":[0.158424,0.001392422,0.007538524,0.001679987,0.003327323,0.002660986,0.001553023,0.002724658,0.002327331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207466,"about_ca_system_score_gemma":0.004038517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014232,"about_ca_topic_score_gemma":0.005382221,"domain_scores_codex":[0.8936228,0.0876927,0.002832698,0.01022613,0.003522087,0.002103623],"domain_scores_gemma":[0.8207639,0.1471305,0.01260345,0.01450776,0.003715893,0.001278567],"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":[0.0262353,0.00151083,0.131154,0.00446978,0.04144106,0.003539436,0.001533939,0.3677593,0.007337958,0.2950554,0.02122298,0.09874013],"study_design_scores_gemma":[0.01276612,0.005030535,0.0387241,0.0007180983,0.01163602,0.001648701,0.0002308354,0.6592447,0.001205671,0.2563463,0.01213217,0.0003168467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2998384,0.006387169,0.6379561,0.01550389,0.001288943,0.005893532,0.008725847,0.003038524,0.02136754],"genre_scores_gemma":[0.9064195,0.00107153,0.07324581,0.004745214,0.0002659401,0.004744542,0.001913465,0.0003015083,0.007292382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1031566,"threshold_uncertainty_score":0.5455508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2314646626554077,"score_gpt":0.4260599932837134,"score_spread":0.1945953306283057,"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."}}