{"id":"W3096116751","doi":"10.9778/cmajo.20200047","title":"Using the clinical chemistry score in the emergency department to detect adverse cardiac events: a diagnostic accuracy study","year":2020,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; Population Health Research Institute","funders":"Abbott Diagnostics; Canadian Institutes of Health Research; Abbott Laboratories","keywords":"Mace; Medicine; Emergency department; Acute coronary syndrome; Myocardial infarction; Unstable angina; Cohort; Internal medicine; Retrospective cohort study; Context (archaeology); Confidence interval; Cohort study; Percutaneous coronary intervention","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.00643032,0.0006142887,0.0004934084,0.001764442,0.0002823944,0.001032986,0.0009131033,0.000821746,0.0005966807],"category_scores_gemma":[0.01920574,0.0003413889,0.000686972,0.001100863,0.0006171024,0.0006395348,0.0006855798,0.0006030124,0.0002254346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309812,"about_ca_system_score_gemma":0.0008025313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009855681,"about_ca_topic_score_gemma":0.0135997,"domain_scores_codex":[0.9954998,0.00123699,0.0004999787,0.0007289627,0.00173633,0.0002979209],"domain_scores_gemma":[0.9863957,0.004218228,0.0045253,0.0009691817,0.00311154,0.0007800799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001922212,0.00002569523,0.9983249,0.000009554599,0.0001185063,0.00001524395,0.00002791194,0.00004786945,0.00005752712,0.00001128374,0.00006040329,0.00110881],"study_design_scores_gemma":[0.00005821012,0.0002831368,0.9975247,0.00001417938,0.0001206259,0.0001968517,0.00005645804,0.001424089,0.0001127691,0.0000328094,0.0001688612,0.000007288735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975092,0.0008406199,0.0004512709,0.00009045306,0.00002135734,0.00006794473,0.0003574378,0.000006316499,0.0006553339],"genre_scores_gemma":[0.9990574,0.0001494173,0.0003048212,0.00004484923,0.00002579093,0.00001719879,0.0003346931,0.000001981849,0.00006389344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009855681,"threshold_uncertainty_score":0.03400713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846825244393163,"score_gpt":0.469729131119714,"score_spread":0.2850466066803977,"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."}}