{"id":"W4321367032","doi":"10.1158/1078-0432.ccr-22-2765","title":"Tumor Mutational Burden as a Predictor of Survival with Durvalumab and/or Tremelimumab Treatment in Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; AstraZeneca","keywords":"Durvalumab; Tremelimumab; Medicine; Head and neck squamous-cell carcinoma; Oncology; Internal medicine; Confidence interval; Head and neck cancer; Chemotherapy; Hazard ratio; Immunotherapy; Cancer; Nivolumab","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":[0.001321177,0.0001896832,0.0008619832,0.0002513402,0.0001013006,0.00001667042,0.0000844129,0.0000559357,0.0002326494],"category_scores_gemma":[0.0009409333,0.0001107972,0.00006591989,0.0007588381,0.0005335757,0.00004604239,0.0001143723,0.0003841844,0.00001442044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473584,"about_ca_system_score_gemma":0.002180791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004022488,"about_ca_topic_score_gemma":0.007898904,"domain_scores_codex":[0.9970295,0.0004139202,0.0006460071,0.0005610447,0.0008401788,0.0005093522],"domain_scores_gemma":[0.9965879,0.002472795,0.00008149631,0.000239026,0.0002883553,0.000330418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1006115,0.002837165,0.780489,0.003388489,0.0004043641,0.004600339,0.009351685,0.00003063098,0.0001961671,0.00007505708,0.002848837,0.09516671],"study_design_scores_gemma":[0.03168856,0.03714381,0.9220824,0.0006195563,0.0001644674,0.00005337394,0.003385168,0.001288591,0.0002681405,0.00009271992,0.003004785,0.0002084092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930429,0.002521911,5.626388e-7,0.002580393,0.0001170645,0.001157495,0.000117579,0.0000257446,0.0004363811],"genre_scores_gemma":[0.99436,0.002351951,0.0001084372,0.00004945339,0.000221692,0.000524601,0.00002028401,0.00003071948,0.002332921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1415934,"threshold_uncertainty_score":0.6080825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2714171589532949,"score_gpt":0.5069175933917128,"score_spread":0.2355004344384179,"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."}}