{"id":"W2044699928","doi":"10.1016/j.clinbiochem.2009.12.014","title":"Identification of myocardial injury in the emergency setting","year":2009,"lang":"en","type":"review","venue":"Clinical Biochemistry","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Institute for Clinical Evaluative Sciences; University of Toronto; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Emergency department; Myocardial infarction; Medicine; Medical emergency; Scope (computer science); Identification (biology); Intensive care medicine; Emergency medicine; Internal medicine; Computer science","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":[0.001443699,0.001322583,0.004431345,0.00542175,0.0002849067,0.00123948,0.001372733,0.001485778,0.0021832],"category_scores_gemma":[0.003437419,0.0005403053,0.001060835,0.00439977,0.0007241915,0.001456551,0.0008385602,0.001540044,0.001242026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007236101,"about_ca_system_score_gemma":0.002033244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003102847,"about_ca_topic_score_gemma":0.00528493,"domain_scores_codex":[0.9993905,0.0001235012,0.0001481032,0.0001098958,0.0001913144,0.00003671979],"domain_scores_gemma":[0.9977443,0.001218849,0.0003744873,0.00003900818,0.0005478359,0.00007542509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001617673,0.00008323837,0.001494364,0.03804832,0.0003853796,0.0002749987,0.00003758318,0.0001220825,0.0003639418,0.0005192403,0.01891179,0.9395973],"study_design_scores_gemma":[0.0003136177,0.0006200001,0.02599338,0.0936349,0.004410941,0.008664723,0.0005692935,0.000392024,0.001388577,0.003358762,0.8604608,0.0001929504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007916609,0.9993104,0.00005794561,0.0001605534,0.0001127959,0.000004455235,0.00001504623,0.000002834227,0.0002567916],"genre_scores_gemma":[0.000558795,0.9988612,0.0001500542,0.0001739665,0.0001362821,0.000004801501,0.00002392361,6.287918e-7,0.00009049121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00542175,"threshold_uncertainty_score":0.007635117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08943485993928686,"score_gpt":0.4889766015758436,"score_spread":0.3995417416365567,"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."}}