{"id":"W4385741022","doi":"10.1172/jci169823","title":"Clinical-genomic determinants of immune checkpoint blockade response in head and neck squamous cell carcinoma","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Cancer Institute; Pfizer Canada; Allos Therapeutics; Genentech; National Institutes of Health; Celldex Therapeutics; Astellas Pharma; Eisai; Memorial Sloan-Kettering Cancer Center; Geoffrey Beene Cancer Research Center; Fundación Alfonso Martín Escudero; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb; Daiichi Sankyo Europe; U.S. Department of Defense","keywords":"Head and neck squamous-cell carcinoma; Medicine; Blockade; Immune checkpoint; Oncology; Internal medicine; Adverse effect; Head and neck cancer; Head and neck; Disease; Cancer; Surgery; Receptor","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":[0.00034857,0.0001535618,0.0002279531,0.0003865851,0.000244126,0.0002952697,0.0001783502,0.0002460069,0.001019564],"category_scores_gemma":[0.001240484,0.00007019247,0.0001987481,0.0004041038,0.0002469721,0.0001409446,0.0002319598,0.000229028,0.0001305407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055676,"about_ca_system_score_gemma":0.0002038864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002063597,"about_ca_topic_score_gemma":0.003544022,"domain_scores_codex":[0.9998189,0.00005046253,0.00001758364,0.0000515591,0.00002887441,0.0000326645],"domain_scores_gemma":[0.9994003,0.0002336608,0.0002036015,0.0000329947,0.00006162071,0.00006787399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003979521,0.00003998117,0.9866996,0.00001766689,0.00005893638,0.0001137796,0.00004672151,0.0009212196,0.005650225,0.00003775188,0.0001063246,0.005909836],"study_design_scores_gemma":[0.000007505027,0.0001097235,0.995728,0.000003754831,0.00002843968,0.0002607708,0.0000897149,0.002629012,0.0008749049,0.0001307519,0.0001345741,0.000002745946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993982,0.0001097511,0.0001653821,0.00002129479,0.000001102714,0.000005447234,0.0001825105,0.000002705213,0.0001136684],"genre_scores_gemma":[0.9996871,0.00001672545,0.00007093271,0.00000879318,0.000001523817,0.000002827204,0.0001923112,0.000001116906,0.00001874691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002063597,"threshold_uncertainty_score":0.004103124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09400576823591318,"score_gpt":0.3988011505465376,"score_spread":0.3047953823106245,"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."}}