{"id":"W4387357397","doi":"10.1016/j.kint.2023.06.032","title":"Mayo Clinic consensus report on membranous nephropathy: proposal for a novel classification","year":2023,"lang":"en","type":"article","venue":"Kidney International","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University of British Columbia","funders":"","keywords":"Membranous nephropathy; Identification (biology); Antigen; Disease; Medicine; Computational biology; Bioinformatics; Immunology; Computer science; Intensive care medicine; Pathology; Biology; Internal medicine; Glomerulonephritis; Kidney","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003088494,0.0001296547,0.0001794137,0.0002065986,0.00007298146,0.00003404953,0.00009645144,0.00007670483,0.0003079949],"category_scores_gemma":[0.00229402,0.0001097942,0.0001869032,0.0001688361,0.00007240013,0.00003715466,0.00002732769,0.0001093693,0.000498942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007898612,"about_ca_system_score_gemma":0.0006819835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001142191,"about_ca_topic_score_gemma":0.000001496355,"domain_scores_codex":[0.9985855,0.00001385494,0.0004090638,0.0003420569,0.0004594049,0.0001901345],"domain_scores_gemma":[0.9988828,0.0001384887,0.0001683589,0.0002456115,0.0003291633,0.000235633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004172188,0.001522256,0.01845939,0.0005077659,0.0007852006,0.001188562,0.0003289272,0.00003327254,0.07386532,0.04810471,0.8427059,0.008326493],"study_design_scores_gemma":[0.007933737,0.001047732,0.2774105,0.0006068926,0.0002992151,0.001107308,0.0004077023,0.0231152,0.00348675,0.004507055,0.6795897,0.0004882302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6052952,0.00008914943,0.002896889,0.2832935,0.00880802,0.003686517,0.00289849,0.001155125,0.0918771],"genre_scores_gemma":[0.9462935,0.00007981202,0.00418861,0.005273219,0.001574203,0.0003651594,0.004137882,0.00006063386,0.03802702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3409983,"threshold_uncertainty_score":0.6413056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172785399712634,"score_gpt":0.3536297475603848,"score_spread":0.3019018935632585,"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."}}