{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002170125,0.0001225357,0.0002089092,0.0002205405,0.00003162168,0.00004417409,0.00004352721,0.00005848803,0.0000579327],"category_scores_gemma":[0.000777107,0.0001165269,0.00005176202,0.0001418599,0.00002192359,0.0001801052,0.0000655739,0.0001565948,0.000009930634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181087,"about_ca_system_score_gemma":0.0002391094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005077245,"about_ca_topic_score_gemma":0.00001000387,"domain_scores_codex":[0.9986588,0.00001633069,0.0004463869,0.0003166477,0.0003844898,0.0001773919],"domain_scores_gemma":[0.9992714,0.00004159648,0.000244652,0.0001669354,0.00008739903,0.0001880305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009914362,0.00004183076,0.9964229,0.0002802321,0.00002777484,0.001828971,0.00009623985,0.00005098341,0.0008809304,0.0001394631,0.00008734706,0.00004421809],"study_design_scores_gemma":[0.0009424866,0.00007670559,0.9885752,0.0009710158,0.00007106184,0.003855777,0.00005903104,0.003997191,0.0001407337,0.0006292429,0.0005120416,0.0001694661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943277,0.0003711043,0.00001841669,0.0003656211,0.0004776154,0.0003941983,0.00001407922,0.00002893711,0.004002352],"genre_scores_gemma":[0.995799,0.0000889544,0.002940561,0.0002298755,0.00007231827,0.00001623853,0.0000361358,0.00001934072,0.000797544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007847619,"threshold_uncertainty_score":0.4751831,"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."}}