{"id":"W4285042966","doi":"10.1007/s00467-022-05676-1","title":"The unfinished journey toward transplant equity: an analysis of racial/ethnic disparities for children after the implementation of the Kidney Allocation System in 2014","year":2022,"lang":"en","type":"article","venue":"Pediatric Nephrology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; National Institute of Allergy and Infectious Diseases; Hennepin Healthcare Research Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Ethnic group; Equity (law); Cohort; Kidney transplantation; Nephrology; Kidney transplant; Transplantation; Dialysis; Internal medicine; Health equity; Demography; Pediatrics; Public health; Pathology","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":[0.002515998,0.0001508622,0.0003320999,0.0006307653,0.001587786,0.002016301,0.0009250385,0.0009109687,0.002007496],"category_scores_gemma":[0.008847899,0.0001898964,0.000885229,0.002292695,0.001126439,0.002637749,0.003570012,0.003107145,0.00009137943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005358321,"about_ca_system_score_gemma":0.01322606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.172041,"about_ca_topic_score_gemma":0.2594868,"domain_scores_codex":[0.9971319,0.0005381034,0.0001736226,0.0001852188,0.0004498355,0.001521228],"domain_scores_gemma":[0.9956033,0.0005348159,0.002200181,0.0001245084,0.0005840474,0.0009531593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001136732,0.000153511,0.971168,0.00005764194,0.00009738073,0.0001695604,0.004574813,0.0002426148,0.00008004638,0.004486762,0.003144389,0.01571171],"study_design_scores_gemma":[0.00000660968,0.00006676585,0.982762,0.0001136409,0.0000414163,0.0001013415,0.01160212,0.0002508393,0.0001021784,0.0005075589,0.004429021,0.00001645875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845945,0.001021654,0.0002158392,0.0107585,0.00007414204,0.00003132747,0.001040386,0.00000535538,0.002258219],"genre_scores_gemma":[0.9970497,0.0006551722,0.0001679803,0.001205849,0.00004257048,0.00002964202,0.0005015893,0.000006650816,0.0003408979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172041,"threshold_uncertainty_score":0.3420792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123086568113492,"score_gpt":0.3305123938441204,"score_spread":0.3092815281629855,"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."}}