{"id":"W2540965614","doi":"10.1371/journal.pone.0165810","title":"Application of High-Throughput Next-Generation Sequencing for HLA Typing on Buccal Extracted DNA: Results from over 10,000 Donor Recruitment Samples","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Marrow Donor Program","keywords":"Human leukocyte antigen; Typing; Buccal swab; Sanger sequencing; Amplicon; Genetics; Biology; DNA sequencing; Polymerase chain reaction; Computational biology; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00373963,0.0005108119,0.000529258,0.0005741806,0.0005318079,0.0008315821,0.0003742092,0.0008053012,0.001457684],"category_scores_gemma":[0.002029123,0.0002244868,0.0004540313,0.0005779056,0.0004022559,0.000237269,0.0006150368,0.0005234635,0.0008800518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150056,"about_ca_system_score_gemma":0.000398065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243894,"about_ca_topic_score_gemma":0.002761109,"domain_scores_codex":[0.9975348,0.0005600108,0.0001819932,0.0006397431,0.0009287122,0.0001547992],"domain_scores_gemma":[0.9987858,0.0004308481,0.0001214678,0.0001428413,0.0003906106,0.0001284089],"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":[0.0006530291,0.0007088172,0.2433394,0.0005684281,0.0004828723,0.0003957401,0.001032155,0.001682072,0.6639189,0.0002347739,0.002047862,0.08493604],"study_design_scores_gemma":[0.00007426082,0.001515927,0.5524252,0.0001235299,0.0007458422,0.002621234,0.0005699102,0.007897963,0.4129292,0.0004327823,0.0205812,0.00008289997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439527,0.002785948,0.04520462,0.0001891289,0.0000815419,0.0003066929,0.004362836,0.0004430869,0.00267335],"genre_scores_gemma":[0.8862063,0.001890303,0.09515551,0.000595888,0.0000621199,0.0005146791,0.01181453,0.0001232843,0.003637449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00373963,"threshold_uncertainty_score":0.01977724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610039312793022,"score_gpt":0.2662442264697105,"score_spread":0.1052402951904083,"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."}}