{"id":"W3135374847","doi":"10.1093/ehjqcco/qcab018","title":"Clinical risk prediction models for the prognosis and management of acute coronary syndromes","year":2021,"lang":"en","type":"article","venue":"European Heart Journal - Quality of Care and Clinical Outcomes","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Acute coronary syndrome; Intensive care medicine; Risk stratification; Risk assessment; Framingham Risk Score; Population; Internal medicine; Myocardial infarction; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005901632,0.0001293507,0.0008072463,0.00004257293,0.0001852141,0.00003213029,0.0001037815,0.00007883259,0.00002072428],"category_scores_gemma":[0.0007667027,0.00008238597,0.0009283356,0.00009042256,0.0004211658,0.00009903318,0.0002072839,0.0005852326,0.000002169382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001452688,"about_ca_system_score_gemma":0.00007896861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001024571,"about_ca_topic_score_gemma":0.000001524523,"domain_scores_codex":[0.9957741,0.001535353,0.0017281,0.0002799447,0.0005005166,0.0001819304],"domain_scores_gemma":[0.9951833,0.003248295,0.0004029461,0.000316932,0.0006014236,0.00024711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006961808,0.0002112469,0.9312373,0.0003161095,0.004197109,0.0000629753,0.0001559822,0.000004874457,0.000004314208,0.0001888143,0.004032589,0.05889245],"study_design_scores_gemma":[0.002544057,0.001651328,0.9818006,0.000183126,0.001518715,0.0002011383,0.001406685,0.0001218173,0.000008690958,0.00017691,0.01031384,0.0000730735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978991,0.004026586,0.001802179,0.01266752,0.0005201417,0.0007561155,0.0002100578,0.00002213085,0.0010043],"genre_scores_gemma":[0.9211096,0.06912517,0.006877804,0.002149074,0.0002382344,0.000006062018,0.00001764104,0.00002660056,0.0004498263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06509858,"threshold_uncertainty_score":0.3359602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.239681199788053,"score_gpt":0.498564303038542,"score_spread":0.258883103250489,"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."}}