{"id":"W4411982531","doi":"10.1093/ndt/gfaf124","title":"Moving beyond race, geographical origin and ethnicity: genomic insights as a path forward in nephrology care","year":2025,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Race (biology); Ethnic group; Nephrology; Internal medicine; Intensive care medicine; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000193623,0.0002368294,0.0003666224,0.0002441897,0.0001703912,0.0000240345,0.0001648385,0.0006496113,0.000009173056],"category_scores_gemma":[0.00002285932,0.0002486235,0.0001563815,0.0002751461,0.0002835206,0.000009510009,0.00004502319,0.0002447786,0.000004143919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647274,"about_ca_system_score_gemma":0.0001324876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000208196,"about_ca_topic_score_gemma":0.003205947,"domain_scores_codex":[0.9982574,0.0002681036,0.0003698908,0.0006550126,0.0001027167,0.0003469035],"domain_scores_gemma":[0.9994049,0.0000675994,0.00008387463,0.0002905112,0.00007871972,0.00007436207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001340298,0.0001514367,0.1322995,0.0002205453,0.0006400117,0.00006078101,0.01005896,0.001346385,0.8436406,0.00168997,0.0003504906,0.008201028],"study_design_scores_gemma":[0.01294027,0.00155434,0.8625909,0.00006781718,0.002006643,0.0001238698,0.003795725,0.001959645,0.05422565,0.007580607,0.0516744,0.001480151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919354,0.004176083,0.002277361,0.0004139105,0.0001364313,0.0002973079,0.00002209216,0.00002109425,0.0007203443],"genre_scores_gemma":[0.9835077,0.01174551,0.0005875018,0.003363666,0.0001183992,0.00006866702,0.0005154838,0.00001816084,0.00007492425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.789415,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004360124220970322,"score_gpt":0.2393125323798551,"score_spread":0.2349524081588847,"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."}}