{"id":"W4387007588","doi":"10.1016/j.humimm.2023.08.099","title":"P604 Rapid and accurate high-resolution HLA typing by Nanopore-based sequencing","year":2023,"lang":"en","type":"article","venue":"Human Immunology","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Nanopore sequencing; Typing; Human leukocyte antigen; Nanopore; Computational biology; Computer science; Biology; DNA sequencing; Genetics; Nanotechnology; Materials science; DNA; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003711428,0.000147112,0.00029563,0.000331639,0.0003413762,0.00003582308,0.0001012513,0.0001780035,0.0006501251],"category_scores_gemma":[0.00008083381,0.000137984,0.00005101049,0.0003323389,0.0002663616,0.00007146586,0.000102548,0.0003628014,0.0003810762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801157,"about_ca_system_score_gemma":0.0001486083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006961719,"about_ca_topic_score_gemma":0.00006351416,"domain_scores_codex":[0.9986951,0.00009394654,0.0002511446,0.0003178096,0.0001415618,0.0005004224],"domain_scores_gemma":[0.999387,0.0000883394,0.00006631087,0.0003004043,0.00007841047,0.00007958522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002379609,0.00003573451,0.0006900916,0.00007638418,0.0001008893,0.00007450992,0.0002371574,0.000008496488,0.9795599,0.001525617,0.008144144,0.009309096],"study_design_scores_gemma":[0.02094539,0.004071018,0.1835863,0.0007361118,0.0002657062,0.0002867947,0.001681588,0.008044755,0.2830212,0.003026845,0.492807,0.001527278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946587,0.002159251,0.00007196034,0.001218333,0.0001220541,0.0002747454,0.00001625017,0.0002284745,0.001250245],"genre_scores_gemma":[0.9964506,0.0004498568,0.00008813417,0.000318697,0.00008531104,0.00003721907,0.0002019221,0.00003400744,0.002334248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6965387,"threshold_uncertainty_score":0.7118415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05115470056668445,"score_gpt":0.3225936125973909,"score_spread":0.2714389120307065,"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."}}