{"id":"W3212553475","doi":"10.1136/jitc-2021-sitc2021.466","title":"466 Use of a 27-gene immuno-oncology (IO) assay to associate response to single-agent immune checkpoint inhibitor (ICI) therapy in advanced-stage NSCLC patients from a large Canadian cohort","year":2021,"lang":"en","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Oncology; Medicine; Internal medicine; Lung cancer; Cancer; Targeted therapy; Biomarker; Breast cancer; Immunotherapy; Immunohistochemistry; Biology","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":[0.0006324295,0.0003343758,0.0003656746,0.001027243,0.001119581,0.0007722295,0.0006222884,0.0003935525,0.001396648],"category_scores_gemma":[0.0009895769,0.0002268363,0.0005634868,0.001307423,0.000455518,0.000135849,0.0003272135,0.000546564,0.0004429507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006810131,"about_ca_system_score_gemma":0.005379213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7731179,"about_ca_topic_score_gemma":0.8385596,"domain_scores_codex":[0.9993653,0.00004259182,0.00002810204,0.000188594,0.0002276844,0.000147742],"domain_scores_gemma":[0.9988968,0.00006923538,0.0001381524,0.00006836379,0.0006374251,0.000190027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003871776,0.00007579969,0.9843322,0.00003568695,0.00006375321,0.0001845114,0.0003581049,0.0001746577,0.004577643,0.00006476633,0.001913437,0.007832205],"study_design_scores_gemma":[0.00002463894,0.0002000188,0.9932281,0.000009045663,0.00005234951,0.0003532593,0.000372714,0.0006983868,0.00109896,0.00001852859,0.003925237,0.00001869105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900541,0.0003761161,0.0004541224,0.0001620595,0.00002351396,0.0001459226,0.006386273,0.00003310915,0.002364673],"genre_scores_gemma":[0.9921777,0.0002462731,0.0009556955,0.0002680842,0.00001591903,0.00009517821,0.004407985,0.0000177165,0.001815441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2268821,"threshold_uncertainty_score":0.4564365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346754772782018,"score_gpt":0.2608376512464363,"score_spread":0.2373701035186161,"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."}}