{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011117,0.0001636768,0.0002660996,0.0003018953,0.0002413227,0.0005084467,0.0002744526,0.0003012588,0.00101563],"category_scores_gemma":[0.002123484,0.0001585341,0.0002129056,0.0002941057,0.0002003781,0.0003117476,0.0003279052,0.0002909359,0.000190293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234121,"about_ca_system_score_gemma":0.0002587435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006841039,"about_ca_topic_score_gemma":0.0009925611,"domain_scores_codex":[0.9997509,0.0001382519,0.000009745823,0.00004473507,0.00003161911,0.00002472481],"domain_scores_gemma":[0.9991061,0.0006033303,0.0001186276,0.00007486855,0.000046762,0.00005019275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001447545,0.0005063064,0.4100647,0.0001499435,0.0002585092,0.0003493876,0.000525787,0.1338383,0.3689438,0.005911095,0.0007486322,0.07725597],"study_design_scores_gemma":[0.00008205902,0.0005910583,0.2565678,0.00003150239,0.0001913131,0.0005117472,0.0003588063,0.6403735,0.09034339,0.00903826,0.001863289,0.00004725034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980991,0.00008206097,0.01837815,0.00003008826,0.000003499584,0.00001300223,0.00008264238,0.0000301922,0.0003894402],"genre_scores_gemma":[0.9952523,0.00003695752,0.004459587,0.00001741687,0.000002246395,0.00001016966,0.0001316276,0.000008092679,0.00008164818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0011117,"threshold_uncertainty_score":0.005879283,"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."}}