{"id":"W2074850565","doi":"10.1053/ajkd.2001.27689","title":"Predicting progression in IgA nephropathy","year":2001,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":365,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Renal function; Nephropathy; Proteinuria; Creatinine; Excretion; Internal medicine; Univariate analysis; Urinary system; Renal biopsy; Glomerulonephritis; Urology; Pathological; Kidney disease; Kidney; Gastroenterology; Endocrinology; Multivariate analysis; Diabetes mellitus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743547,0.0007397725,0.0008696843,0.00201252,0.001029766,0.001419896,0.0006253416,0.001095986,0.001028845],"category_scores_gemma":[0.0049327,0.0002884936,0.0008116072,0.0008172936,0.0003141434,0.001132472,0.0005517909,0.00203851,0.0002912154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801615,"about_ca_system_score_gemma":0.0008386816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00636361,"about_ca_topic_score_gemma":0.008535343,"domain_scores_codex":[0.9994831,0.0001732258,0.00005168148,0.00007139849,0.0001119639,0.0001085489],"domain_scores_gemma":[0.9972547,0.0006875336,0.0005325601,0.0001186677,0.0005229208,0.0008835391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008395521,0.0001801496,0.9914444,0.00001591601,0.0000545795,0.00006871897,0.00003826089,0.0004740942,0.0001984882,0.00004380224,0.0003094184,0.006332563],"study_design_scores_gemma":[0.00007194224,0.001356716,0.9821795,0.00006128884,0.0003267131,0.0007481648,0.0003235841,0.01219557,0.0007901359,0.0006850726,0.001233204,0.00002813561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958467,0.001069847,0.0003272225,0.0002040254,0.00006751279,0.0000234838,0.0002827563,0.0000371134,0.002141329],"genre_scores_gemma":[0.9986262,0.0002712901,0.0003142426,0.00003929038,0.00005337385,0.00000762074,0.0002943279,0.000003861186,0.0003898542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00636361,"threshold_uncertainty_score":0.01265311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007021877064808286,"score_gpt":0.2850795945892957,"score_spread":0.2780577175244874,"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."}}