{"id":"W2111743367","doi":"10.1093/hmg/ddu149","title":"Predicting HLA alleles from high-resolution SNP data in three Southeast Asian populations","year":2014,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"International HapMap Project; Biology; Human leukocyte antigen; Imputation (statistics); Genetics; Single-nucleotide polymorphism; Population; Linkage disequilibrium; 1000 Genomes Project; Major histocompatibility complex; Genotyping; Allele; Evolutionary biology; Genotype; Gene; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001985185,0.0002155641,0.0002670704,0.0001262624,0.0002606109,0.00002584514,0.0006632094,0.0003547952,0.0002266664],"category_scores_gemma":[0.00005699732,0.0002255541,0.00005238652,0.00009795502,0.0002029436,0.00004410743,0.0004391956,0.0003615968,0.0002674479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002428822,"about_ca_system_score_gemma":0.0000278587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481837,"about_ca_topic_score_gemma":0.005308444,"domain_scores_codex":[0.9982983,0.0003001494,0.0004040471,0.0005262273,0.00005493361,0.0004163143],"domain_scores_gemma":[0.9986224,0.00003464722,0.00013693,0.001143308,0.00003716722,0.0000255703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001784816,0.0001162036,0.02989513,0.000004913904,0.00007792061,0.000006400148,0.0001818185,0.0002373071,0.9630197,0.004324626,0.0001353246,0.001982824],"study_design_scores_gemma":[0.006081549,0.0005586126,0.8317441,0.0001386903,0.0003743342,0.00004886733,0.0007047363,0.003449612,0.1033985,0.03684081,0.01544414,0.001216029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850928,0.002861567,0.01011961,0.0001724725,0.0004442463,0.0002013946,0.0001278548,0.00008196388,0.0008981524],"genre_scores_gemma":[0.9948893,0.00001944303,0.001550395,0.00007145738,0.00007911297,0.00001066925,0.003212587,0.00003518559,0.0001318187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8596212,"threshold_uncertainty_score":0.9197831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635398457746564,"score_gpt":0.2570887072072006,"score_spread":0.2207347226297349,"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."}}