{"id":"W3031796418","doi":"10.1200/jco.2020.38.15_suppl.6548","title":"Molecular biomarkers to identify patients (pts) who may benefit from durvalumab (D; anti-PD-L1) ± tremelimumab (T; anti-CTLA-4) in recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) from HAWK and CONDOR studies.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Head and neck squamous-cell carcinoma; Internal medicine; Peripheral blood mononuclear cell; Durvalumab; Germline; Gastroenterology; Oncology; Cancer; Immunotherapy; Head and neck cancer; Nivolumab; In vitro; Biology","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":[0.0005964311,0.0002326423,0.0003985535,0.0001907468,0.0001234114,0.0003665464,0.0002801295,0.0002199087,0.001601894],"category_scores_gemma":[0.0004526814,0.0001176282,0.0003239006,0.0003003783,0.0001302559,0.0002514465,0.0001927331,0.0003350009,0.000197851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412489,"about_ca_system_score_gemma":0.0004085852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001452449,"about_ca_topic_score_gemma":0.004887024,"domain_scores_codex":[0.999878,0.00002994354,0.00001393785,0.00003832336,0.00001815318,0.00002159082],"domain_scores_gemma":[0.9997087,0.00006264505,0.000111595,0.00002535757,0.00002294622,0.00006874599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03187698,0.0006438539,0.8146447,0.0002763634,0.0006177335,0.0002123356,0.00008915179,0.00108521,0.02999404,0.000130353,0.003325971,0.1171034],"study_design_scores_gemma":[0.00310506,0.01000959,0.9725698,0.00005744999,0.0007453591,0.0009019077,0.0001038223,0.001657619,0.005736522,0.0001882215,0.004909003,0.00001576291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966387,0.001220407,0.0001349507,0.0001046435,0.000007809969,0.00007389653,0.001044595,0.00001290101,0.0007621638],"genre_scores_gemma":[0.997154,0.0002727093,0.0004127256,0.00009715285,0.000009744984,0.00004292568,0.001614532,0.000003875791,0.0003923884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601894,"threshold_uncertainty_score":0.005358934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054248701093849,"score_gpt":0.4275511045825271,"score_spread":0.3221262344731421,"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."}}