{"id":"W3099426483","doi":"10.1002/ctm2.209","title":"Head and neck cancer: Emerging concepts in biomarker discovery and opportunities for clinical translation","year":2020,"lang":"en","type":"letter","venue":"Clinical and Translational Medicine","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Réseau de Recherche en Santé Buccodentaire et Osseuse","keywords":"Medicine; Head and neck cancer; Radiation therapy; Cancer; Watchful waiting; Biomarker; Oncology; Intensive care medicine; Internal medicine; Prostate cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008220365,0.00110261,0.00240092,0.001240094,0.0009154332,0.004962367,0.002632998,0.009252251,0.004817981],"category_scores_gemma":[0.03539291,0.0005404923,0.001093297,0.0008381643,0.003517885,0.007434869,0.001588317,0.02090139,0.003459621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430029,"about_ca_system_score_gemma":0.002661046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006012712,"about_ca_topic_score_gemma":0.0009505081,"domain_scores_codex":[0.9962085,0.001086966,0.0006150671,0.0007197412,0.00105198,0.0003176947],"domain_scores_gemma":[0.9705258,0.01708662,0.001535176,0.0006137474,0.008179332,0.002059327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001884983,0.00002893586,0.0004486605,0.001637506,0.00006682606,0.0008119951,0.0001429392,0.0001707967,0.000356995,0.004509505,0.8883904,0.103247],"study_design_scores_gemma":[0.00006374344,0.0001104409,0.000574821,0.00154359,0.00007424207,0.002191331,0.0001985291,0.0004916503,0.0003962471,0.007066958,0.9872317,0.00005690454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004403373,0.1026278,0.001669011,0.4666669,0.4271662,0.00002197489,0.000113797,0.0001104312,0.001183525],"genre_scores_gemma":[0.003417282,0.07940797,0.0009108908,0.1452922,0.7685515,0.00002745329,0.00005945342,0.0000557652,0.002277513],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009252251,"threshold_uncertainty_score":0.04347396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3549773045546623,"score_gpt":0.4870270505439243,"score_spread":0.1320497459892619,"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."}}