{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01136742,0.001327151,0.003989767,0.003643644,0.0004173584,0.003234187,0.002399001,0.003234252,0.001688731],"category_scores_gemma":[0.01189648,0.0005175899,0.001892302,0.003218812,0.001113434,0.003078245,0.001470904,0.007936282,0.001518438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896113,"about_ca_system_score_gemma":0.007723469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003189033,"about_ca_topic_score_gemma":0.004146348,"domain_scores_codex":[0.9981924,0.0005454788,0.0003262734,0.0002267134,0.000579541,0.0001296654],"domain_scores_gemma":[0.9867973,0.006482513,0.0009450369,0.0002480242,0.00506494,0.0004622188],"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":[0.0002339211,0.0000997714,0.0007697839,0.01066268,0.0004027707,0.000106657,0.00004324828,0.000485056,0.0007267761,0.008429745,0.08274027,0.8952993],"study_design_scores_gemma":[0.000126228,0.0002462076,0.00225621,0.01770989,0.0007215351,0.0005875366,0.00006385381,0.0003848471,0.000592526,0.004927979,0.9723259,0.00005730915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005060125,0.9951676,0.0002425175,0.003293994,0.0008332939,0.00000956736,0.00004079207,0.000007789255,0.0003537737],"genre_scores_gemma":[0.0007631439,0.9943432,0.0008362287,0.002461931,0.001154018,0.00002642926,0.0001085121,0.000004333855,0.0003022914],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01136742,"threshold_uncertainty_score":0.0601173,"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."}}