{"id":"W3203889005","doi":"10.1038/s41588-021-00935-7","title":"A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response","year":2021,"lang":"en","type":"article","venue":"Nature Genetics","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":187,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; University of Ottawa; McGill University; University of Calgary; University of Saskatchewan; Université Laval; Université de Montréal; Providence Health Care Research Institute","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Allergy and Infectious Diseases; National Center for Advancing Translational Sciences; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; National Cancer Institute; Mississippi State Department of Health; National Institute of Environmental Health Sciences; Frederick National Laboratory for Cancer Research; National Institute of Diabetes and Digestive and Kidney Diseases; Jackson State University; Wake Forest University; American Diabetes Association; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Biology; Host (biology); Human immunodeficiency virus (HIV); Diversity (politics); Human leukocyte antigen; Population; Evolutionary biology; Computational biology; Genetics; Resolution (logic); High resolution; Virology; Remote sensing; Environmental health; Antigen; Computer science","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":[0.0002122199,0.0002079063,0.0002743937,0.00008801276,0.000303638,0.00001723357,0.0002576643,0.001121246,0.00006783194],"category_scores_gemma":[0.000200344,0.0002144639,0.00006045248,0.0003038656,0.0001013192,0.00006032058,0.0004890703,0.0008995517,0.00007974567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939986,"about_ca_system_score_gemma":0.00009986497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004796217,"about_ca_topic_score_gemma":0.001057438,"domain_scores_codex":[0.998369,0.0004088478,0.0002823923,0.0004552318,0.00005875702,0.0004258056],"domain_scores_gemma":[0.9993007,0.00009666034,0.0001282254,0.0003316744,0.0001202945,0.00002240384],"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":[0.0003562972,0.0001459561,0.1666365,0.00002367993,0.00005772019,0.00007756076,0.0002960011,0.0003826085,0.8307197,0.0001351079,0.0003162081,0.00085265],"study_design_scores_gemma":[0.002333153,0.00005154091,0.8604253,0.00008423117,0.00003971084,0.0001021726,0.000428313,0.00005630475,0.1290452,0.0001715664,0.006938699,0.0003238447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800921,0.01793474,0.0002428238,0.0003266874,0.001045811,0.0001224119,0.0001121295,0.00005982777,0.00006344344],"genre_scores_gemma":[0.9959862,0.000307718,0.001995059,0.0001310587,0.00004236313,0.000004437989,0.0004135171,0.000009208598,0.001110476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7016745,"threshold_uncertainty_score":0.8745586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401265512755876,"score_gpt":0.2512860280858559,"score_spread":0.2172733729582972,"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."}}