{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003734981,0.0002659841,0.001574973,0.000105032,0.0000384079,0.00001353266,0.0005056254,0.0008348496,0.000082312],"category_scores_gemma":[0.00357988,0.0001822038,0.001365771,0.0006693335,0.0002067018,0.00002313477,0.0001015714,0.001575107,0.00009712578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008364972,"about_ca_system_score_gemma":0.0005611817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003783124,"about_ca_topic_score_gemma":4.366753e-8,"domain_scores_codex":[0.9955623,0.000454013,0.002602701,0.0005521803,0.0005572061,0.0002715652],"domain_scores_gemma":[0.9973438,0.0004699223,0.0007404277,0.001148553,0.0001769877,0.000120256],"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":[0.00002956574,0.0002257166,0.0001421485,0.005309361,0.0001993343,0.00001648293,0.00001097339,2.611285e-8,0.0001137326,0.000006504824,0.0487197,0.9452264],"study_design_scores_gemma":[0.0002254506,0.0001052264,0.0002899741,0.002544675,0.0007623669,0.00004314652,0.00003109871,0.000002438236,0.0001758008,0.00003634019,0.995597,0.0001864805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004071602,0.9941949,0.000007098406,0.001136083,0.0004012549,0.0008896011,0.00008746816,0.00002582654,0.002850609],"genre_scores_gemma":[0.0005152667,0.9967722,0.00003642233,0.0003567433,0.00141304,0.0000678765,0.0002865981,0.00002591594,0.0005259435],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9468773,"threshold_uncertainty_score":0.7430053,"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."}}