{"id":"W2807016910","doi":"10.1177/1179554918779581","title":"Precision Medicine in Head and Neck Cancer: Myth or Reality?","year":2018,"lang":"en","type":"article","venue":"Clinical Medicine Insights Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Head and neck squamous-cell carcinoma; Head and neck cancer; Precision medicine; Personalized medicine; Clinical trial; Medicine; Cancer; Medical physics; Bioinformatics; Internal medicine; Biology; Pathology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001473409,0.0003187822,0.002332509,0.0002873329,0.0001362098,0.000002887449,0.0001654289,0.0004912587,0.001224148],"category_scores_gemma":[0.005487118,0.0001691335,0.00006502432,0.00060416,0.003451335,0.00007764067,0.0001590236,0.0007777307,0.00003773731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457856,"about_ca_system_score_gemma":0.0006201437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821773,"about_ca_topic_score_gemma":0.01100959,"domain_scores_codex":[0.9961338,0.0003992378,0.001745737,0.0008202611,0.0004047978,0.0004961839],"domain_scores_gemma":[0.9952855,0.002967689,0.0002827181,0.0005085745,0.0003623273,0.0005932102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01188227,0.00106562,0.07842591,0.0002934333,0.0002114485,0.0012383,0.007735935,1.852766e-7,0.0008430355,0.0009381179,0.2548119,0.6425539],"study_design_scores_gemma":[0.01765894,0.04241617,0.2228138,0.002448701,0.000213352,0.0001504963,0.0006393723,0.000119239,0.00006054847,0.001384715,0.7119007,0.0001939702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.739743,0.006046663,0.00004188989,0.1780098,0.003271566,0.0008211741,0.000002804325,0.00009179692,0.07197136],"genre_scores_gemma":[0.9136686,0.03465864,0.0006175456,0.03802835,0.01057425,0.0001122413,0.00001453839,0.00004446456,0.002281407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6423599,"threshold_uncertainty_score":0.9996889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975468661358666,"score_gpt":0.5213579928452671,"score_spread":0.3238111267094005,"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."}}