{"id":"W2922017807","doi":"10.3389/fimmu.2019.00435","title":"Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming","year":2019,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases; National Health and Medical Research Council; Vetenskapsrådet; National Institutes of Health; Fondazione Umberto Veronesi; United States-Israel Binational Science Foundation; University of Washington","keywords":"Germline; Genetics; Biology; Repertoire; Allele; Immunogenetics; Computational biology; Gene","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":[0.01838987,0.001695617,0.001726274,0.01191649,0.002390374,0.008072413,0.003081282,0.002225778,0.0109428],"category_scores_gemma":[0.04031746,0.001080314,0.002026749,0.006668597,0.001931059,0.004961165,0.006052196,0.003642334,0.01224999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981528,"about_ca_system_score_gemma":0.004527881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003954216,"about_ca_topic_score_gemma":0.002888709,"domain_scores_codex":[0.9886369,0.003016797,0.003060657,0.003229438,0.001694356,0.0003617807],"domain_scores_gemma":[0.9778253,0.008066363,0.002886784,0.005820247,0.004530054,0.0008712543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003150816,0.0004522876,0.04390586,0.00488154,0.000723239,0.002476429,0.007316614,0.008169251,0.05915263,0.12765,0.2200317,0.5220897],"study_design_scores_gemma":[0.0001772619,0.00033437,0.01351586,0.001479055,0.000388807,0.001578484,0.001280739,0.04994997,0.03855418,0.07063121,0.8216572,0.0004526917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01565892,0.002049287,0.8170145,0.001412222,0.001262229,0.001323931,0.06598907,0.08416146,0.01112833],"genre_scores_gemma":[0.03398619,0.001009692,0.886084,0.0007650549,0.000221996,0.001864474,0.06768724,0.005070119,0.003311331],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01838987,"threshold_uncertainty_score":0.09725606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071926751944873,"score_gpt":0.2885858584894361,"score_spread":0.2578665909699873,"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."}}