{"id":"W4410421310","doi":"10.1016/j.ekir.2025.05.026","title":"Erratum to “Using the International IgA Nephropathy Prediction Tool to Enrich Clinical Trial Cohorts” [Kidney International Reports Volume 10, Issue 4, April 2025, Pages 1283-1287]","year":2025,"lang":"en","type":"erratum","venue":"Kidney International Reports","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Toronto East General Hospital Foundation; Novartis","keywords":"Medicine; Volume (thermodynamics); Nephropathy; Endocrinology","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":[0.009411776,0.002522936,0.003172233,0.004303609,0.003299534,0.005030805,0.002832105,0.009011806,0.03888044],"category_scores_gemma":[0.0800007,0.001730272,0.003005097,0.00313341,0.002382763,0.002721795,0.002108819,0.01635612,0.0344042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00372682,"about_ca_system_score_gemma":0.008298109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538843,"about_ca_topic_score_gemma":0.02461201,"domain_scores_codex":[0.9916852,0.002060049,0.001753742,0.0007358961,0.00318885,0.0005763154],"domain_scores_gemma":[0.955407,0.01851653,0.003754677,0.001572163,0.01811979,0.002629886],"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":[0.00002792101,0.000006217934,0.00007156256,0.00006356941,0.00001349376,0.00007449651,0.000008375248,0.00001720246,0.00001407506,0.0001990152,0.9969117,0.002592467],"study_design_scores_gemma":[0.0001841276,0.00004469106,0.001339727,0.001040836,0.0001401183,0.0006573953,0.00007335156,0.0003590785,0.0002419869,0.001693308,0.994149,0.00007639854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0000979387,0.001572392,0.0006539432,0.1169211,0.8767173,0.00003274113,0.001446455,0.0003708901,0.002187272],"genre_scores_gemma":[0.003160206,0.006929087,0.003257224,0.3785985,0.5473183,0.0001961246,0.003292813,0.0009881777,0.05625952],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03888044,"threshold_uncertainty_score":0.130068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967005855488467,"score_gpt":0.3453067510412487,"score_spread":0.3156366924863641,"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."}}