{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258412,0.0003944782,0.0004901995,0.0004974908,0.0002601807,0.0007095872,0.0004229382,0.0007306234,0.001678581],"category_scores_gemma":[0.0008957112,0.0002964366,0.0003228111,0.0002147953,0.0002085281,0.0004717802,0.0006790907,0.0005882541,0.001368789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822036,"about_ca_system_score_gemma":0.0002931981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005878119,"about_ca_topic_score_gemma":0.001280164,"domain_scores_codex":[0.9994936,0.00007928389,0.00002652231,0.0001414998,0.0001941423,0.00006493614],"domain_scores_gemma":[0.9996408,0.0001424232,0.00003671837,0.00005466557,0.00008746987,0.00003787591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001819254,0.00003966072,0.002965757,0.00008093095,0.00003534961,0.0001072828,0.00003606573,0.0005496776,0.9575083,0.0003869029,0.001123938,0.03698412],"study_design_scores_gemma":[0.00003308921,0.000309754,0.01309211,0.00004693605,0.00008615853,0.001375366,0.0000979288,0.039986,0.9255353,0.002462649,0.01692797,0.00004665877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5913712,0.004643514,0.3802243,0.0007992461,0.0004728785,0.0003451217,0.006100335,0.002786117,0.01325736],"genre_scores_gemma":[0.7751046,0.001422536,0.2091072,0.0007400783,0.0001379461,0.0002333127,0.00402427,0.0002496862,0.008980374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001678581,"threshold_uncertainty_score":0.005615413,"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."}}