{"id":"W4250333507","doi":"10.1093/ndt/gfaa140.mo041","title":"MO041URINE PROTEOMICS FOR PREDICTION OF DISEASE PROGRESSION IN PATIENTS WITH IGA NEPHROPATHY","year":2020,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Renal function; Nephropathy; Kidney disease; Internal medicine; Cohort; Proteome; Biomarker; Urine; Disease; Bioinformatics; Endocrinology; Diabetes mellitus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001044394,0.0004306636,0.0006358923,0.001337323,0.0004167012,0.0008820187,0.000347196,0.0006451329,0.0007601094],"category_scores_gemma":[0.001592445,0.0001571123,0.000301106,0.0005914842,0.0001655364,0.0002674316,0.0004231536,0.0003943861,0.0002192961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045405,"about_ca_system_score_gemma":0.0005803893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005346019,"about_ca_topic_score_gemma":0.008205742,"domain_scores_codex":[0.9996396,0.00009294962,0.00003481531,0.00008127368,0.00009777641,0.00005350082],"domain_scores_gemma":[0.9992511,0.0001717731,0.0001580887,0.00002763601,0.0001952824,0.0001962315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001063616,0.00008908186,0.9838222,0.00003460433,0.00007135062,0.000108959,0.00004025037,0.0002477487,0.004655454,0.00001609708,0.0002433646,0.009607353],"study_design_scores_gemma":[0.00002965595,0.0003548251,0.9929548,0.00002049078,0.00007106844,0.000450028,0.00009375239,0.003632264,0.001840258,0.00004039631,0.0005034773,0.000009024686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975343,0.001192356,0.0003788757,0.00005607582,0.00001444399,0.0000275085,0.0002943702,0.00002020779,0.0004818769],"genre_scores_gemma":[0.9983444,0.0001428928,0.0008778382,0.00003706726,0.00001131238,0.00001122273,0.0003567242,0.000002986443,0.0002155015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005346019,"threshold_uncertainty_score":0.01062983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008827539983313972,"score_gpt":0.2359907479086596,"score_spread":0.2271632079253456,"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."}}