{"id":"W4298008223","doi":"10.1016/j.jtho.2022.09.109","title":"Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective From the International Association for the Study of Lung Cancer Pathology Committee","year":2022,"lang":"en","type":"review","venue":"Journal of Thoracic Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":215,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Janssen Pharmaceuticals; Johnson and Johnson; Ribon Therapeutics; Boehringer Ingelheim; International Association for the Study of Lung Cancer; Novartis; Daiichi Sankyo Europe; Sanofi; Merck; Genentech; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Immunotherapy; Biomarker; Lung cancer; Oncology; Companion diagnostic; Cancer; Tumor microenvironment; Cancer immunotherapy; Adjuvant; Biomarker discovery; Internal medicine; Immunohistochemistry; Immunology; Proteomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003684917,0.0003143424,0.001951416,0.0003267991,0.0001890349,0.00002145205,0.0008138094,0.0003482852,0.0004154307],"category_scores_gemma":[0.0005067338,0.0001800978,0.00101851,0.0004049273,0.000116342,0.00007695011,0.00009033846,0.0009742238,8.189687e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009460801,"about_ca_system_score_gemma":0.00258906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980516,"about_ca_topic_score_gemma":0.001792198,"domain_scores_codex":[0.9964321,0.0009747778,0.001486641,0.000313299,0.0005109994,0.000282196],"domain_scores_gemma":[0.9882317,0.006815742,0.003977058,0.0003013531,0.0006380189,0.00003608505],"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":[0.02229892,0.001051009,0.004992144,0.0007221031,0.02361004,0.00003009739,0.007500928,0.00002433821,0.00003291,0.000007433256,0.01546627,0.9242638],"study_design_scores_gemma":[0.006242168,0.003370115,0.00493492,0.002251059,0.00828775,0.00008378089,0.01136694,0.0002488558,0.000005161876,0.00005381139,0.9629598,0.0001956453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002307981,0.9799171,0.0001241609,0.006627724,0.004935149,0.004956564,0.001024548,0.000006410928,0.0001003373],"genre_scores_gemma":[0.00140177,0.9942653,0.0001166238,0.000500917,0.00119211,0.002232571,0.00004273288,0.00005644923,0.0001915388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9474935,"threshold_uncertainty_score":0.9943417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654945551221298,"score_gpt":0.4720473729983006,"score_spread":0.4254979174860877,"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."}}