{"id":"W2141685272","doi":"10.1093/ndt/gfr033","title":"Urinary NGAL levels before and after coronary angiography: a complex story","year":2011,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Creatinine; Lipocalin; Cohort; Urinary system; Cohort study; Internal medicine; Angiography; Excretion; Urology; Cardiology","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":[0.003519285,0.0003390733,0.000923273,0.001452993,0.0004011176,0.002224289,0.0007440616,0.001922315,0.001518528],"category_scores_gemma":[0.01558159,0.000367719,0.0005627139,0.001949067,0.001518534,0.002595471,0.0009705417,0.001620183,0.0003871407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105765,"about_ca_system_score_gemma":0.0002343167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000639161,"about_ca_topic_score_gemma":0.0006664803,"domain_scores_codex":[0.9974674,0.000937111,0.0003252411,0.0005963549,0.0004905068,0.0001834362],"domain_scores_gemma":[0.9798896,0.01034132,0.006190485,0.001624137,0.001014246,0.0009402153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003957498,0.00005237978,0.9829109,0.0000667424,0.0001620486,0.0006312115,0.0003904389,0.0001576688,0.0005050024,0.0003360811,0.0006291078,0.01376277],"study_design_scores_gemma":[0.00001672734,0.0002083398,0.9911637,0.00008173049,0.00009053171,0.003493634,0.0007311624,0.0005530771,0.0002609551,0.001501102,0.001857072,0.00004205926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645202,0.02095951,0.002649493,0.007957787,0.000190648,0.00001875801,0.001022865,0.00004117279,0.002639595],"genre_scores_gemma":[0.99445,0.002422094,0.00095813,0.001051521,0.0004596965,0.0000121998,0.0004140776,0.00002053561,0.0002116824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003519285,"threshold_uncertainty_score":0.01861197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388109133718805,"score_gpt":0.2906126362010518,"score_spread":0.2518017228291712,"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."}}