{"id":"W2148491053","doi":"10.1186/1471-2369-15-105","title":"Adjudication of etiology of acute kidney injury: experience from the TRIBE-AKI multi-center study","year":2014,"lang":"en","type":"article","venue":"BMC Nephrology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; Abbott Diagnostics; National Center for Research Resources; Georgia Clinical and Translational Science Alliance; American Heart Association; Canadian Institutes of Health Research; McGill University; McGill University Health Centre; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Cincinnati Children's Hospital Medical Center; Yale University","keywords":"Medicine; Acute kidney injury; Etiology; Internal medicine; Rifle; Creatinine; Acute tubular necrosis; Intensive care medicine; Urinalysis; Renal function; Urine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1368167,0.0005001926,0.001356475,0.001748257,0.001542753,0.002580262,0.002172602,0.001255688,0.001213716],"category_scores_gemma":[0.1823646,0.0004913384,0.000882772,0.002492934,0.00200612,0.001473928,0.004863028,0.001461061,0.0004666779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262626,"about_ca_system_score_gemma":0.002784867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608964,"about_ca_topic_score_gemma":0.004919211,"domain_scores_codex":[0.8850453,0.09355596,0.0078238,0.003907444,0.008129597,0.001537907],"domain_scores_gemma":[0.7480995,0.122615,0.04384919,0.03654256,0.03461876,0.01427493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002411753,0.0006294727,0.9156994,0.0004541423,0.0007141049,0.0008194583,0.01066681,0.0003542123,0.0005638896,0.000341013,0.005160827,0.0621849],"study_design_scores_gemma":[0.000806183,0.002227397,0.969509,0.0008539578,0.0003012714,0.002287192,0.01021,0.001881048,0.0007003736,0.0006561683,0.01038622,0.0001811606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809588,0.007750732,0.003370393,0.00306313,0.0001503893,0.0009065793,0.0006889243,0.00005949712,0.003051629],"genre_scores_gemma":[0.991304,0.00194966,0.004178246,0.0007261867,0.0001576363,0.0004545433,0.0009007707,0.00004336389,0.0002854918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368167,"threshold_uncertainty_score":0.7235646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0438265902345856,"score_gpt":0.3688752886890802,"score_spread":0.3250486984544946,"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."}}