{"id":"W4378528212","doi":"10.1016/j.jtho.2023.05.019","title":"Impact of Aneuploidy and Chromosome 9p Loss on Tumor Immune Microenvironment and Immune Checkpoint Inhibitor Efficacy in NSCLC","year":2023,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Daiichi Sankyo Europe; National Human Genome Research Institute; Canadian Institutes of Health Research; Genentech; Bristol-Myers Squibb; AstraZeneca; Foghorn Therapeutics; Revolution Medicines; National Cancer Institute; Royal College of Physicians and Surgeons of Canada; Gilead Sciences; GlaxoSmithKline; G1 Therapeutics; V Foundation for Cancer Research; Pfizer; Amgen","keywords":"Medicine; Aneuploidy; Oncology; Immunotherapy; Internal medicine; Biomarker; Lung cancer; Cancer; Chromosome; Cancer research; Gene; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004319011,0.0001277326,0.0003383326,0.0002358872,0.0001224828,0.0003886924,0.0001473463,0.0002520995,0.001214787],"category_scores_gemma":[0.0007934346,0.00008681747,0.000227094,0.0001709225,0.0001423689,0.0002678983,0.000185257,0.000449814,0.0001225248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203734,"about_ca_system_score_gemma":0.0002694473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006908927,"about_ca_topic_score_gemma":0.001406009,"domain_scores_codex":[0.9997981,0.00004694869,0.00002026816,0.00003369477,0.00005446039,0.00004647435],"domain_scores_gemma":[0.9996935,0.0001206369,0.00008803117,0.00001587817,0.00002688494,0.00005503945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0415186,0.001259929,0.6153239,0.000309979,0.001025251,0.001222051,0.0001459019,0.002521234,0.1877554,0.000299985,0.0009001189,0.1477176],"study_design_scores_gemma":[0.0003060519,0.01051817,0.9653109,0.00002419049,0.0005278141,0.001190654,0.0001923185,0.001688791,0.01715837,0.0002396721,0.002826842,0.00001618906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967303,0.002287322,0.00009610998,0.00008308461,0.00001763345,0.00001133213,0.0001443014,0.000008609079,0.0006214172],"genre_scores_gemma":[0.9991944,0.0003079514,0.00004064899,0.00004146412,0.000008376305,0.00000825169,0.0001289197,0.000001783699,0.0002681779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001214787,"threshold_uncertainty_score":0.004063845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676393546803184,"score_gpt":0.3692465684179748,"score_spread":0.3524826329499429,"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."}}