{"id":"W3155930593","doi":"10.1161/circ.142.suppl_3.15701","title":"Abstract 15701: Relationship Between Cardiac Biomarkers and Major Adverse Cardiovascular Events in DECLARE-TIMI 58","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Mace; Internal medicine; Cardiology; Biomarker; Hazard ratio; Myocardial infarction; TIMI; Troponin; Stroke (engine); Copeptin; Heart failure; Dapagliflozin; Proportional hazards model; Diabetes mellitus; Type 2 diabetes; Endocrinology; Confidence interval; Percutaneous coronary intervention","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":[0.004286626,0.0005967151,0.001238266,0.0002464367,0.0002041722,0.0007282825,0.000584305,0.0004683049,0.003097065],"category_scores_gemma":[0.003932348,0.0003371443,0.001195445,0.0003071387,0.0003108522,0.0003329767,0.0005398963,0.0009239827,0.0003485963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351692,"about_ca_system_score_gemma":0.0006082081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004739103,"about_ca_topic_score_gemma":0.000663078,"domain_scores_codex":[0.9986171,0.0006314566,0.0001026835,0.0002817509,0.0002828633,0.00008408796],"domain_scores_gemma":[0.9979531,0.0005349658,0.0007771001,0.0002593818,0.000178209,0.0002972758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2696407,0.002763505,0.6470924,0.001519117,0.00747672,0.0002442068,0.0002456571,0.001334074,0.01476545,0.0006172888,0.005908955,0.04839195],"study_design_scores_gemma":[0.02161155,0.02422623,0.9385561,0.0001120219,0.005009832,0.0003663793,0.00005096158,0.002952962,0.002642123,0.0006542152,0.00375886,0.00005879116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927827,0.001760211,0.0009101518,0.0002474279,0.00007960952,0.0002167754,0.002733665,0.00004624888,0.001223079],"genre_scores_gemma":[0.9928544,0.0003153924,0.002053106,0.0002839013,0.0001447671,0.0003886016,0.002995385,0.00001160459,0.0009528251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004286626,"threshold_uncertainty_score":0.02267015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889035568811779,"score_gpt":0.257387556069385,"score_spread":0.2184972003812672,"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."}}