{"id":"W2031102033","doi":"10.1371/journal.pone.0097282","title":"HLA Diversity in the 1000 Genomes Dataset","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Allergy and Infectious Diseases; Office of Naval Research; National Institute of Neurological Disorders and Stroke; Race to Erase MS","keywords":"Biology; Genome; Genetics; 1000 Genomes Project; Identity by descent; Haplotype; Major histocompatibility complex; Human leukocyte antigen; Linkage disequilibrium; Reference genome; Sanger sequencing; Genomics; Evolutionary biology; DNA sequencing; Computational biology; Allele; Gene; Genotype; Single-nucleotide polymorphism","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":[0.001591083,0.001449649,0.002392319,0.004037593,0.0008086949,0.002093183,0.001655522,0.001815679,0.02251857],"category_scores_gemma":[0.01106059,0.0006273704,0.001852785,0.007896245,0.0002533056,0.0009950944,0.002182851,0.0022354,0.0126577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007608254,"about_ca_system_score_gemma":0.001188417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084503,"about_ca_topic_score_gemma":0.009701745,"domain_scores_codex":[0.998461,0.0003379032,0.0002733033,0.0005825853,0.0001797725,0.0001654716],"domain_scores_gemma":[0.9983223,0.0005631912,0.0003020061,0.0003898958,0.0002313623,0.00019116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001881822,0.000171972,0.07336226,0.005538759,0.002514525,0.001008355,0.000257438,0.005192114,0.003451487,0.00346215,0.8607474,0.04241182],"study_design_scores_gemma":[0.001821171,0.0001626033,0.1619495,0.001051601,0.001064368,0.001454977,0.0002958923,0.006993834,0.001599868,0.01018714,0.8132559,0.0001631427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004937097,0.0007934562,0.0007061965,0.00015883,0.0000378551,0.00003969406,0.992355,0.000361964,0.0006098629],"genre_scores_gemma":[0.006441412,0.0003364925,0.001543236,0.00009618888,0.00002026065,0.000216147,0.9909652,0.00008967491,0.0002913753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02251857,"threshold_uncertainty_score":0.07533216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384532121095314,"score_gpt":0.2111866681345919,"score_spread":0.1727334560250605,"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."}}