{"id":"W2974379499","doi":"10.1016/j.ekir.2019.09.009","title":"Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome Using Plasma Proteomics","year":2019,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Research Institute, Nationwide Children's Hospital; School of Medicine, Emory University; Hospital for Sick Children; West Virginia University; Louisiana State University; University of Louisville; University of North Carolina at Chapel Hill; National Institutes of Health; Children's Mercy Hospital; National Institute on Alcohol Abuse and Alcoholism; Emory University","keywords":"Medicine; Biomarker; Internal medicine; Vitamin D-binding protein; Nephrotic syndrome; Endocrinology; Bioinformatics; Vitamin D and neurology; Biology; Genetics","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":[0.001139932,0.0006488289,0.0004988432,0.001113659,0.0002117381,0.0006916279,0.0002480832,0.0003535485,0.0006049786],"category_scores_gemma":[0.002015455,0.0001661816,0.0004893697,0.0009107609,0.0002460535,0.0003617094,0.0004267296,0.0004696099,0.0001723312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711231,"about_ca_system_score_gemma":0.0005119645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587098,"about_ca_topic_score_gemma":0.001656834,"domain_scores_codex":[0.9995583,0.0001412558,0.00005392145,0.00008699961,0.0001197563,0.00003978418],"domain_scores_gemma":[0.9990475,0.0002970126,0.0004208407,0.00003076767,0.0001199453,0.00008396502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001771845,0.00002600999,0.9882224,0.00004237554,0.0001117146,0.0001593443,0.00004250412,0.0004037081,0.003235711,0.00002728818,0.0001185141,0.007433246],"study_design_scores_gemma":[0.00001711027,0.0002526194,0.9892974,0.00004631033,0.0001136782,0.00174596,0.0001673476,0.00429515,0.00344016,0.0001613649,0.0004523645,0.00001053935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954044,0.001678625,0.001893256,0.00012296,0.00001001234,0.00002268939,0.0004354525,0.0000396484,0.000393037],"genre_scores_gemma":[0.996708,0.0004720861,0.002351962,0.00004647152,0.00001188515,0.00001312016,0.0003240581,0.000004122368,0.00006828422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001587098,"threshold_uncertainty_score":0.006028652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008994397821266117,"score_gpt":0.2498596023918808,"score_spread":0.2408652045706147,"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."}}