{"id":"W2124770381","doi":"10.1681/asn.2010121302","title":"Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery","year":2011,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":757,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Western University","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Medicine; Acute kidney injury; Urine; Intensive care unit; Cardiac surgery; Odds ratio; Urinary system; Dialysis; Lipocalin; Creatinine; Prospective cohort study; Internal medicine; Urology","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":[0.0008215937,0.0004752362,0.0003940312,0.0004282795,0.0002265825,0.0006391838,0.0002199769,0.0004623113,0.0007543805],"category_scores_gemma":[0.003814108,0.0001919035,0.0005311987,0.0005336796,0.0001945898,0.0004140968,0.0004433463,0.0008218556,0.0001580011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888578,"about_ca_system_score_gemma":0.0003765926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296414,"about_ca_topic_score_gemma":0.001547701,"domain_scores_codex":[0.9995889,0.0001222038,0.00006949391,0.00006815043,0.00007704822,0.00007423249],"domain_scores_gemma":[0.9975007,0.0004937295,0.001254548,0.0001566994,0.0002475321,0.0003467063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428798,0.00003406484,0.9984717,0.000005288582,0.00003753474,0.00001936072,0.000009002541,0.00005682412,0.0001248694,0.000004843204,0.00004151957,0.001052027],"study_design_scores_gemma":[0.00001160862,0.0001951684,0.9984643,0.000006776165,0.00004709296,0.0001063526,0.00004957319,0.0008115505,0.0001770047,0.00003977961,0.00008594913,0.00000490718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991373,0.0003149342,0.0001996081,0.00005854224,0.00001146109,0.000006899952,0.0001396265,0.000005051128,0.0001266144],"genre_scores_gemma":[0.9994074,0.0001005043,0.0001879211,0.00002916237,0.00001401907,0.000005645673,0.0001809599,0.00000145121,0.00007285946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296414,"threshold_uncertainty_score":0.004345059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183560838487889,"score_gpt":0.296211807396441,"score_spread":0.2778557235476521,"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."}}