{"id":"W2808596977","doi":"10.1111/tan.13307","title":"Inaccuracies in epitope repertoire estimations when using multilocus allele‐level HLA genotype imputation tools","year":2018,"lang":"en","type":"article","venue":"HLA","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University; Héma-Québec; McGill University Health Centre","funders":"","keywords":"Epitope; Imputation (statistics); Allele; Genotype; Human leukocyte antigen; Biology; Genetics; Immunology; Antigen; Gene; Statistics; Mathematics; Missing data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04613842,0.0008359641,0.0008770445,0.001710714,0.0004698513,0.001958463,0.001410577,0.0005389901,0.001092556],"category_scores_gemma":[0.08451644,0.0004017318,0.0007018356,0.002088265,0.0005184875,0.0008064132,0.001200296,0.0007571281,0.0007787473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006333653,"about_ca_system_score_gemma":0.0007142152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007863039,"about_ca_topic_score_gemma":0.01073248,"domain_scores_codex":[0.9735657,0.01924831,0.001883398,0.002297706,0.002480688,0.0005241879],"domain_scores_gemma":[0.8917015,0.08503199,0.008021663,0.009348208,0.005348874,0.0005477566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00099336,0.00006944456,0.8465194,0.0002832745,0.001725204,0.0003272726,0.0009760655,0.03016837,0.003236718,0.001059101,0.002581905,0.11206],"study_design_scores_gemma":[0.0002014981,0.0004020978,0.6392003,0.0006520861,0.001261266,0.001900844,0.001006322,0.318833,0.01408158,0.01116561,0.0111263,0.0001691279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6988986,0.001747006,0.2905569,0.0004519142,0.00009565563,0.0002139786,0.003050769,0.001076044,0.003909149],"genre_scores_gemma":[0.9514589,0.0002143049,0.04568063,0.000182351,0.0000214413,0.0000601596,0.001954176,0.0001110367,0.0003168666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04613842,"threshold_uncertainty_score":0.2440062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05833163007210659,"score_gpt":0.2895575577566706,"score_spread":0.231225927684564,"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."}}