{"id":"W2107320405","doi":"10.1080/13547500903067744","title":"Comparative analysis of urinary biomarkers for early detection of acute kidney injury following cardiopulmonary bypass","year":2009,"lang":"en","type":"article","venue":"Biomarkers","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Johnson and Johnson; Satellite Healthcare; Cleveland Clinic Foundation","keywords":"Medicine; Acute kidney injury; Cystatin C; Cardiopulmonary bypass; Lipocalin; Biomarker; Urinary system; Cardiac surgery; Prospective cohort study; Beta-2 microglobulin; Internal medicine; Creatinine; Area under the curve; Receiver operating characteristic; Cohort; Urology; Gastroenterology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006746943,0.0002839212,0.001196469,0.001490536,0.0001046839,0.00001233258,0.0002340377,0.0002172928,0.00003335217],"category_scores_gemma":[0.0001779037,0.0002650149,0.001309442,0.002653498,0.0002017487,0.0001889173,0.00005712856,0.0001449011,0.00000378731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870539,"about_ca_system_score_gemma":0.0002785103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001243286,"about_ca_topic_score_gemma":9.162317e-7,"domain_scores_codex":[0.9975469,0.000150034,0.0006982479,0.0004823314,0.0006679464,0.0004545662],"domain_scores_gemma":[0.9982104,0.0001263702,0.00030037,0.000601917,0.0003127675,0.0004481992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01355091,0.0004658879,0.04344394,0.0001215547,0.052122,0.00007497393,0.0003794468,6.591387e-7,0.8700235,0.000009336615,0.0139018,0.005905947],"study_design_scores_gemma":[0.003779449,0.00658002,0.6437315,0.0001865929,0.01911713,0.00003256137,0.0004299674,0.003490851,0.3195778,0.0000435034,0.002576317,0.0004542994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915993,0.0001946622,0.001245766,0.0006484078,0.0002213614,0.001256004,0.001678925,0.00006909143,0.003086537],"genre_scores_gemma":[0.9971094,0.00003077613,0.001932898,0.0001451108,0.00004838476,0.00006464362,0.0004566661,0.00002172377,0.000190387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6002876,"threshold_uncertainty_score":0.9999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622997547552176,"score_gpt":0.3488918714532275,"score_spread":0.3226618959777058,"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."}}