{"id":"W2918529223","doi":"10.1016/j.humimm.2019.03.001","title":"Next-generation HLA typing of 382 International Histocompatibility Working Group reference B-lymphoblastoid cell lines: Report from the 17th International HLA and Immunogenetics Workshop","year":2019,"lang":"en","type":"article","venue":"Human Immunology","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University Health Centre","funders":"National Institutes of Health; Kuwait Foundation for the Advancement of Sciences; National Institute of Neurological Disorders and Stroke; Kuwait University; Rijksdienst voor Ondernemend Nederland","keywords":"Human leukocyte antigen; Concordance; Genotyping; Typing; Biology; Immunogenetics; Genetics; Genotype; Allele; Allotype; HLA-B; HLA-B Antigens; Histocompatibility; Gene; Computational biology; Antigen","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004666697,0.0003542354,0.0005231943,0.0001729379,0.0003245997,0.00006001003,0.001018796,0.0005630538,0.001461078],"category_scores_gemma":[0.0001081512,0.0003014414,0.0001367954,0.0001292047,0.0007571125,0.0001665781,0.0006532785,0.0007131719,0.0002160525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664396,"about_ca_system_score_gemma":0.00008571193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007193343,"about_ca_topic_score_gemma":0.0003154696,"domain_scores_codex":[0.9973137,0.0003927237,0.001037292,0.0007502536,0.00009193058,0.0004140685],"domain_scores_gemma":[0.9975981,0.000433181,0.0007778264,0.0009388236,0.0002338668,0.00001824264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002578636,0.0002386128,0.02016409,0.000007232538,0.0004291648,0.00000654055,0.0007632619,0.00001545878,0.9700124,0.001008416,0.0006032442,0.006493678],"study_design_scores_gemma":[0.008978049,0.0007462026,0.1197632,0.0003298876,0.0002549907,0.0006487077,0.003522604,0.0003027215,0.4879224,0.001656908,0.3745468,0.001327478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799952,0.01092598,0.0002366044,0.0003459157,0.004581156,0.0004229457,0.00003052226,0.00007166171,0.003389993],"genre_scores_gemma":[0.9936962,0.0006470063,0.0004288323,0.0001508596,0.0001798473,0.00004105904,0.001459256,0.00003355414,0.003363383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4820901,"threshold_uncertainty_score":0.9999438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608327378378587,"score_gpt":0.256462386077413,"score_spread":0.2103791122936271,"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."}}