{"id":"W4381716556","doi":"10.1093/ndt/gfad125","title":"Dynamics of urine proteomics biomarker and disease progression in patients with IgA nephropathy","year":2023,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Forskning och Utveckling, Halland; Vetenskapsrådet; Sahlgrenska Akademin; Umeå Universitet; Bundesministerium für Bildung und Forschung; University of Toronto; Federación Española de Enfermedades Raras; Austrian Science Fund; Göteborgs Universitet; European Commission","keywords":"Medicine; Interquartile range; Renal function; Nephropathy; Kidney disease; Creatinine; Internal medicine; Biopsy; Gastroenterology; Urine; Urology; Biomarker; Urinary system; Endocrinology; Diabetes mellitus","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":[0.0008565048,0.0003584189,0.0004794544,0.000834424,0.0004283844,0.0008648422,0.0002491168,0.000478744,0.000748203],"category_scores_gemma":[0.002699257,0.0001384257,0.0002978261,0.0009745535,0.0001908592,0.0004381861,0.000434348,0.0006135117,0.0002415972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785845,"about_ca_system_score_gemma":0.0003551446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555481,"about_ca_topic_score_gemma":0.001644468,"domain_scores_codex":[0.9995422,0.00009561786,0.00004100423,0.000100171,0.0001527012,0.00006830236],"domain_scores_gemma":[0.9980253,0.0004199635,0.0008274546,0.00007272159,0.0003730007,0.0002816355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002030394,0.00002533936,0.9965872,0.0000078375,0.0000436721,0.00007849786,0.00004772036,0.00008816321,0.0005764726,0.00001198706,0.0000637012,0.002266407],"study_design_scores_gemma":[0.000005577783,0.000172822,0.9978706,0.000006529179,0.00003756961,0.0004028044,0.00009206376,0.0007820324,0.0003849772,0.00005630837,0.0001833959,0.000005360635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989569,0.000485681,0.0001198833,0.0000342788,0.000004274547,0.000003680433,0.0001219084,0.000008811705,0.0002646539],"genre_scores_gemma":[0.9995459,0.00007305673,0.0001315541,0.00001210738,0.000006392941,0.00000315084,0.0001608084,0.000001788528,0.00006521559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001555481,"threshold_uncertainty_score":0.004529655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006164060630171051,"score_gpt":0.2440185166665522,"score_spread":0.2378544560363811,"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."}}