{"id":"W2953492042","doi":"10.1681/asn.2018101036","title":"Impact of AKI on Urinary Protein Excretion: Analysis of Two Prospective Cohorts","year":2019,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research; University of Illinois at Chicago; University of Maryland; Michigan Institute for Clinical and Health Research; National Institutes of Health; Kaiser Permanente","keywords":"Medicine; Creatinine; Proteinuria; Interquartile range; Renal function; Prospective cohort study; Internal medicine; Kidney disease; Cohort; Acute kidney injury; Cohort study; Urology; Urine; Kidney","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":[0.01827321,0.001167603,0.001253241,0.002434229,0.001200107,0.002007489,0.002001082,0.001631103,0.001293439],"category_scores_gemma":[0.02567641,0.001042053,0.004841762,0.00242151,0.0007975089,0.001551721,0.002716216,0.002627802,0.0002462347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006046491,"about_ca_system_score_gemma":0.001269819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0057597,"about_ca_topic_score_gemma":0.004562756,"domain_scores_codex":[0.9875876,0.006371648,0.001160654,0.002422614,0.001423239,0.001034127],"domain_scores_gemma":[0.9669809,0.01063068,0.01065256,0.006498781,0.002172351,0.003064682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00146277,0.0001204069,0.9956605,0.00002188164,0.001310109,0.00009738897,0.0001146466,0.00009464051,0.0001206525,0.00005461958,0.0001389487,0.0008033962],"study_design_scores_gemma":[0.0002117281,0.0008546324,0.9952945,0.00002112057,0.001203587,0.0003644347,0.0002883145,0.001219112,0.0001198895,0.0001162091,0.0002738408,0.00003262077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972782,0.0005367844,0.0008110275,0.00009910035,0.00004001321,0.0001017965,0.0008751249,0.00001391681,0.0002440366],"genre_scores_gemma":[0.9969792,0.0001870288,0.0009276623,0.00008398279,0.00004011973,0.0001489677,0.001472265,0.00001511618,0.0001456033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827321,"threshold_uncertainty_score":0.0966391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661834006449335,"score_gpt":0.3613663760582986,"score_spread":0.3447480359938052,"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."}}