{"id":"W2966855909","doi":"10.1016/j.humimm.2019.07.235","title":"P182 Precision of next generation sequencing HLA genotyping for a national epitope matching program","year":2019,"lang":"en","type":"article","venue":"Human Immunology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Genotyping; Matching (statistics); Human leukocyte antigen; Epitope; Computational biology; DNA sequencing; Genetics; Biology; Genotype; DNA; Mathematics; Antigen; Gene; Statistics","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":[0.006596836,0.0005641392,0.0005369075,0.0008512979,0.0005405989,0.001347989,0.0008823044,0.000846949,0.004785658],"category_scores_gemma":[0.005711892,0.0004795134,0.0004381508,0.0008082076,0.0002693528,0.0006444093,0.0008676614,0.001069608,0.002026118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009099936,"about_ca_system_score_gemma":0.001655026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003717386,"about_ca_topic_score_gemma":0.008127879,"domain_scores_codex":[0.9968351,0.0009487273,0.0001224861,0.0008013174,0.001013086,0.0002793926],"domain_scores_gemma":[0.9964212,0.001139832,0.0004310008,0.0006530088,0.001136883,0.000218181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00242241,0.0005247024,0.1727642,0.0003134304,0.000363793,0.0002760909,0.0004170995,0.01398865,0.3754534,0.009939093,0.03447711,0.3890601],"study_design_scores_gemma":[0.000498338,0.001714939,0.1923312,0.0003110463,0.0007161477,0.001216628,0.0003046933,0.1644406,0.4765067,0.01831565,0.1434989,0.000145236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5636945,0.002927807,0.3634573,0.004404184,0.001009909,0.0006710486,0.02193785,0.005390208,0.03650728],"genre_scores_gemma":[0.635178,0.0006275974,0.3422376,0.002358202,0.0002873054,0.000652753,0.01122428,0.0006067433,0.006827699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006596836,"threshold_uncertainty_score":0.03488779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09578545828972086,"score_gpt":0.3460275737842426,"score_spread":0.2502421154945217,"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."}}