{"id":"W3163949076","doi":"10.1038/s42003-021-01989-3","title":"High-throughput sequencing defines donor and recipient HLA B-cell epitope frequencies for prospective matching in transplantation","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; SickKids Foundation; University of Manitoba; George & Fay Yee Centre for Healthcare Innovation; University of Calgary; Université Laval; Université du Québec à Montréal; Toronto General Hospital; Institute of Infection and Immunity; University Health Network; Dalhousie University; Western University; University of Toronto; Hospital for Sick Children; Université de Montréal; University of Alberta; University of British Columbia Hospital; McGill University Health Centre; McGill University; Kidney Foundation of Canada; University of British Columbia","funders":"Genome Alberta; Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"Human leukocyte antigen; Transplantation; In silico; Epitope; Histocompatibility Testing; Computational biology; Population; Immunology; DNA sequencing; Matching (statistics); Gene; Biology; Antibody; Antigen; Medicine; Genetics; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001144903,0.0001072535,0.0002367243,0.00008309503,0.0001387213,0.00001315701,0.00009483375,0.00007950556,0.00000843998],"category_scores_gemma":[0.00003184802,0.00009236994,0.00004810423,0.0001493014,0.0001048903,0.00006839513,0.00002822889,0.0001169323,0.000003971642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093951,"about_ca_system_score_gemma":0.0001036677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003747974,"about_ca_topic_score_gemma":0.0008427573,"domain_scores_codex":[0.9992394,0.0000970328,0.0002711957,0.000212299,0.00003659555,0.0001434074],"domain_scores_gemma":[0.9989897,0.0003935425,0.00006732249,0.0004015437,0.0001096376,0.00003824486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003430702,0.0005695447,0.7139917,0.0007847214,0.0002294093,0.00006955484,0.007732555,0.00007767459,0.09805576,0.1719529,0.000009400454,0.006183689],"study_design_scores_gemma":[0.02340308,0.001111018,0.7308598,0.001651914,0.0009380425,0.001295762,0.00445608,0.0006097241,0.1242118,0.1087707,0.001843684,0.000848401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858193,0.003578957,0.005416191,0.00320159,0.00009633132,0.0006109277,0.0001316742,0.0000367117,0.001108265],"genre_scores_gemma":[0.9168386,0.009846571,0.0720266,0.000233089,0.0000155606,0.0001869542,0.0007440687,0.00001038854,0.00009816109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06898075,"threshold_uncertainty_score":0.3766737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501554813146701,"score_gpt":0.3306083134265773,"score_spread":0.2804528321119071,"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."}}