{"id":"W2278611839","doi":"10.1016/j.jtcvs.2016.02.029","title":"Association of cardiac biomarkers with acute kidney injury after cardiac surgery: A multicenter cohort study","year":2016,"lang":"en","type":"article","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Western University; Montreal Children's Hospital; Population Health Research Institute; McMaster University","funders":"Cincinnati Children's Hospital Medical Center; National Institutes of Health; Ontario Ministry of Health and Long-Term Care; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Institute for Clinical Evaluative Sciences; University of Cincinnati","keywords":"Medicine; Prohormone; Acute kidney injury; Odds ratio; Internal medicine; Natriuretic peptide; Cardiac surgery; Brain natriuretic peptide; Confidence interval; Cardiology; Troponin; Biomarker; Myocardial infarction; Heart failure; Hormone","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":[0.01112979,0.0003193751,0.002555168,0.0007016198,0.00006522035,0.00003949869,0.0001080672,0.0001978684,0.00007963772],"category_scores_gemma":[0.001424423,0.000189527,0.00278913,0.0005217692,0.0001452666,0.0004032406,0.00009138031,0.0003273766,0.00000856868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799715,"about_ca_system_score_gemma":0.0008127195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915393,"about_ca_topic_score_gemma":3.702698e-7,"domain_scores_codex":[0.9945812,0.00123981,0.00097118,0.0003812299,0.002327143,0.0004994473],"domain_scores_gemma":[0.9960656,0.0007382025,0.0006097755,0.0007068262,0.001197536,0.000682016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004751683,0.000199269,0.8470201,0.0001367668,0.05567334,0.0004830055,0.00008284941,2.65785e-8,0.0009059779,8.118467e-8,0.05515191,0.03559493],"study_design_scores_gemma":[0.0006267292,0.0004145387,0.9453934,0.0008922488,0.01347763,0.000199664,0.0002162005,0.000001168941,0.006175211,0.00000268292,0.03226539,0.000335073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934236,0.003137294,0.000140682,0.001068411,0.0007981983,0.0007982412,0.0004706655,0.00001966008,0.0001432796],"genre_scores_gemma":[0.9930364,0.00573871,0.0001653885,0.00009893479,0.0004550567,0.00006682274,0.00001623726,0.00006292171,0.0003594579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0983733,"threshold_uncertainty_score":0.7728689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056767361849526,"score_gpt":0.2846634474927325,"score_spread":0.2740957738742372,"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."}}