{"id":"W2004844128","doi":"10.1016/j.ahj.2013.03.023","title":"Canada Acute Coronary Syndrome Risk Score: A new risk score for early prognostication in acute coronary syndromes","year":2013,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital du Sacré-Cœur de Montréal; McGill University Health Centre; Institute for Clinical Evaluative Sciences; York University; St. Michael's Hospital; Jewish General Hospital; Centre Hospitalier Universitaire de Sherbrooke; Montreal Heart Institute; Institut universitaire de cardiologie et de pneumologie de Québec; University of Toronto; Cegep regional de Lanaudiere; Université de Montréal","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Acute coronary syndrome; Framingham Risk Score; Internal medicine; Killip class; Myocardial infarction; Risk stratification; Cardiology; Clinical endpoint; Percutaneous coronary intervention; Clinical trial; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005675164,0.0003642792,0.000921421,0.0004172571,0.0003902228,0.0001297231,0.0003086084,0.0001097464,0.0004580163],"category_scores_gemma":[0.0004853783,0.0003211157,0.0002766545,0.000849653,0.0003933602,0.0004657233,0.0001118859,0.001484096,0.0001413206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008565404,"about_ca_system_score_gemma":0.004095184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5470629,"about_ca_topic_score_gemma":0.01024655,"domain_scores_codex":[0.996318,0.0003246342,0.0007946335,0.0005214583,0.001016295,0.00102499],"domain_scores_gemma":[0.9968406,0.0005553456,0.0004729753,0.0005119879,0.0004523825,0.001166692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004563264,0.00009863684,0.8384207,0.00001492004,0.001034306,0.0009403592,0.0001115146,0.00001973183,0.0003940542,0.000004826929,0.1383573,0.02014726],"study_design_scores_gemma":[0.001733449,0.003046941,0.9631047,0.0001476418,0.0005006888,0.02301444,0.0002295725,0.0004692284,0.00006732462,0.0001758938,0.007198482,0.0003116035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980538,0.0003262378,0.000585978,0.01565394,0.0003469675,0.002226039,0.0002091722,0.00005565609,0.00005797407],"genre_scores_gemma":[0.9857721,0.001478016,0.007184905,0.003836375,0.0002452596,0.0002475944,0.00006100432,0.00009201106,0.001082741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5368164,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667535758941237,"score_gpt":0.3082233452052635,"score_spread":0.2815479876158511,"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."}}