{"id":"W3141754065","doi":"10.1016/j.ekir.2021.03.877","title":"On Path to Informing Hierarchy of Eplet Mismatches as Determinants of Kidney Transplant Loss","year":2021,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Montreal Children's Hospital; Canadian Blood Services; McGill University; Université du Québec à Montréal; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Genome Alberta; Minneapolis Medical Research Foundation; Genome British Columbia; Canadian Institutes of Health Research; Genome Canada; Génome Québec","keywords":"Medicine; Human leukocyte antigen; Kidney transplant; Cohort; Proportional hazards model; Immunology; Kidney transplantation; Allele; Transplantation; Antigen; Internal medicine; Genetics; Gene; Biology","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":[0.002922487,0.0003849737,0.0002899098,0.000915958,0.000382369,0.001214646,0.000624584,0.0005255024,0.005646522],"category_scores_gemma":[0.0142596,0.0001941804,0.0005229481,0.001066591,0.0003965387,0.001210558,0.0008982362,0.001017446,0.0004083151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005076276,"about_ca_system_score_gemma":0.0007623695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004910764,"about_ca_topic_score_gemma":0.005967956,"domain_scores_codex":[0.9987763,0.0006572726,0.00004922939,0.0003525035,0.00007116724,0.00009353427],"domain_scores_gemma":[0.9877417,0.007553499,0.002785684,0.0008326046,0.0005290626,0.0005574479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152983,0.00002372094,0.9813378,0.00003369554,0.0001477951,0.00006803208,0.0001218237,0.004518538,0.0003068844,0.0008855181,0.0005275821,0.01187569],"study_design_scores_gemma":[0.00004318037,0.0002651503,0.8064457,0.0001447383,0.000410998,0.000838101,0.000935892,0.1690007,0.001024368,0.01668683,0.00416172,0.00004263154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759067,0.0006034136,0.0180029,0.001779965,0.00002425977,0.00002003113,0.001857532,0.00007944019,0.001725797],"genre_scores_gemma":[0.9961301,0.0001249783,0.002677065,0.000101997,0.00001835471,0.00001027234,0.0006529964,0.000009490586,0.0002747047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005646522,"threshold_uncertainty_score":0.01888949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534288779884515,"score_gpt":0.3085631427634923,"score_spread":0.2932202549646472,"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."}}