{"id":"W2529588191","doi":"10.1373/clinchem.2016.257428","title":"Best Practices for Monitoring Cardiac Troponin in Detecting Myocardial Injury","year":2016,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Troponin; Medicine; Myocardial infarction; Cardiology; Internal medicine; Troponin I; Troponin complex; Intensive care medicine; Myocardial infarction diagnosis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05550634,0.001778971,0.001597613,0.005414801,0.002881645,0.007537804,0.00572582,0.007080766,0.008298267],"category_scores_gemma":[0.1521199,0.0009373802,0.002310362,0.003653139,0.003769793,0.006922747,0.00619035,0.01113981,0.01055913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004630428,"about_ca_system_score_gemma":0.01798304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157837,"about_ca_topic_score_gemma":0.01646054,"domain_scores_codex":[0.909421,0.04488593,0.01138692,0.004275871,0.02835321,0.001677199],"domain_scores_gemma":[0.8709049,0.03295189,0.0120807,0.009140383,0.06789085,0.007031328],"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":[0.0001969513,0.0005630423,0.01107516,0.005458104,0.0002726328,0.001159625,0.00468873,0.0007836109,0.001261593,0.0179143,0.2999024,0.6567239],"study_design_scores_gemma":[0.0001626201,0.0003889366,0.0115819,0.03711849,0.0003966283,0.002999868,0.003725703,0.001302664,0.002362757,0.04171912,0.8979754,0.0002659154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.007847872,0.135707,0.1484042,0.5709884,0.02108862,0.002384858,0.001372127,0.002982875,0.109224],"genre_scores_gemma":[0.08717151,0.139404,0.6158429,0.1251753,0.007051863,0.004104502,0.002101478,0.001364539,0.01778398],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05550634,"threshold_uncertainty_score":0.2935491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140712358793733,"score_gpt":0.4792937307674577,"score_spread":0.3385813719737247,"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."}}