{"id":"W4313249914","doi":"10.1111/tan.14954","title":"Identification of a novel allele with a frameshift mutation, <i>HLA‐DRB4*01:165N</i>, using next‐generation sequencing","year":2022,"lang":"en","type":"article","venue":"HLA","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Alberta Precision Laboratories; Alberta Health Services","keywords":"Frameshift mutation; Exon; Genetics; Allele; Biology; DNA sequencing; Mutation; Stop codon; Human leukocyte antigen; Identification (biology); Gene; Antigen","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003099332,0.0001545735,0.0002310993,0.0001489606,0.0004738319,0.00002209519,0.0002010992,0.0001354028,0.0005088898],"category_scores_gemma":[0.00003310803,0.0001493513,0.00006094175,0.0002791655,0.0001601704,0.0001622073,0.0000954596,0.0003139506,0.00003751654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253124,"about_ca_system_score_gemma":0.0001870617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004521427,"about_ca_topic_score_gemma":0.00007752731,"domain_scores_codex":[0.9987096,0.0001881262,0.0004423662,0.0003276218,0.00007066276,0.0002616927],"domain_scores_gemma":[0.9991426,0.0000533299,0.0003657434,0.000311963,0.0001134067,0.00001289925],"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":[0.0000934843,0.0001870291,0.000152885,0.00001475216,0.00009346053,0.000005458399,0.001495398,0.003060459,0.9928452,0.001052732,0.000484428,0.0005146844],"study_design_scores_gemma":[0.001973653,0.0003335133,0.0001182262,0.00001354293,0.0001017817,0.0004370773,0.002345165,0.003142117,0.9832945,0.0001114272,0.007862051,0.0002668994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845189,0.001128323,0.01312261,0.0001798658,0.0004915791,0.0002700773,0.0000429132,0.00005983482,0.0001859261],"genre_scores_gemma":[0.9973223,0.0000163549,0.0006701878,0.0001813456,0.00003574583,0.00005534835,0.0004107151,0.0000232048,0.001284814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280341,"threshold_uncertainty_score":0.6090369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518752875452191,"score_gpt":0.2458973606460308,"score_spread":0.2007098318915088,"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."}}