{"id":"W2034891616","doi":"10.1159/000145458","title":"Validation of the Toronto Formula to Predict Progression in IgA Nephropathy","year":2008,"lang":"en","type":"article","venue":"Nephron Clinical Practice","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Creatinine; Renal function; Nephropathy; Cohort; Internal medicine; Urology; Linear regression; Gastroenterology; Animal science; Endocrinology; Statistics; Mathematics","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":[0.008656453,0.001267261,0.0008262111,0.00231614,0.000562771,0.001258692,0.001584889,0.0009101467,0.002598586],"category_scores_gemma":[0.0287862,0.000461469,0.001899749,0.001745729,0.0004763932,0.0007627237,0.001286712,0.001008901,0.000794986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184011,"about_ca_system_score_gemma":0.002532958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07036732,"about_ca_topic_score_gemma":0.0604555,"domain_scores_codex":[0.9960382,0.00183644,0.0003078623,0.0005270617,0.001083535,0.0002067822],"domain_scores_gemma":[0.9836158,0.006658778,0.002844649,0.00196593,0.004038814,0.0008760318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001050577,0.00007026647,0.9521518,0.0000970996,0.0005451131,0.0001073047,0.000189528,0.01172169,0.0003926399,0.0005427005,0.002315413,0.03081583],"study_design_scores_gemma":[0.0002210828,0.001240876,0.7119977,0.000200345,0.0007054546,0.0006558913,0.0002525189,0.2789176,0.0009975353,0.001288664,0.003428477,0.00009390135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672781,0.001244531,0.02099995,0.0003862122,0.0001812085,0.000277507,0.004083715,0.0003724499,0.005176347],"genre_scores_gemma":[0.9901811,0.000194026,0.006857906,0.00004284812,0.0000426794,0.00008328599,0.001817449,0.00004194137,0.0007386326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07036732,"threshold_uncertainty_score":0.1399155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747666221893673,"score_gpt":0.4117012748049046,"score_spread":0.3642246125859679,"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."}}