{"id":"W2898607831","doi":"10.1093/annonc/mdy269.093","title":"Predicting toxicity and response to pembrolizumab (P) through germline genomic HLA class I analysis","year":2018,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Loss of heterozygosity; Human leukocyte antigen; Medicine; Immunology; Univariate analysis; Internal medicine; Allele; Oncology; Biology; Genetics; Antigen; Multivariate analysis","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":[0.0005752986,0.0001886039,0.0001770553,0.0004268887,0.0000960294,0.0003094474,0.0001162804,0.0001688795,0.0009857725],"category_scores_gemma":[0.00142244,0.00008370363,0.0002188019,0.0002660286,0.0001192915,0.0001780953,0.000239776,0.0002305419,0.0002085808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323072,"about_ca_system_score_gemma":0.0001098324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002762327,"about_ca_topic_score_gemma":0.0003416419,"domain_scores_codex":[0.9997991,0.00006309225,0.0000219083,0.00005923827,0.00003263364,0.00002401014],"domain_scores_gemma":[0.9994237,0.0002343865,0.0002175211,0.00003126656,0.00003883726,0.00005422052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001064356,0.00003866876,0.9768688,0.00001447004,0.00009642603,0.0001015165,0.00002137244,0.001083602,0.004806377,0.00002378944,0.0001649306,0.01571573],"study_design_scores_gemma":[0.00006804705,0.0008131323,0.985653,0.00001068892,0.0001538935,0.001366992,0.00004151635,0.00805824,0.003073512,0.0001815705,0.0005733255,0.000006086244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998692,0.0001932535,0.0005594607,0.00002067926,0.000001895699,0.000008279157,0.000192555,0.000008504657,0.0003232948],"genre_scores_gemma":[0.9994413,0.00003943861,0.0002517507,0.00001167826,0.000003064818,0.000004413775,0.0002029089,0.000001946774,0.00004351108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009857725,"threshold_uncertainty_score":0.003297746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06514329559478552,"score_gpt":0.400270124425917,"score_spread":0.3351268288311314,"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."}}