{"id":"W2911404326","doi":"10.1007/978-3-319-98854-2_3","title":"Oncogenomics/Proteomics of Head and Neck Cancer","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; European Society for Medical Oncology; Fonds De La Recherche Scientifique - FNRS; McGill University; Università degli Studi di Padova; Teva Pharmaceutical Industries","keywords":"Disease; Head and neck squamous-cell carcinoma; Head and neck cancer; Computational biology; Carcinogenesis; Head and neck; Cancer; Bioinformatics; Biology; Medicine; Pathology; Internal medicine","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":[0.0005685743,0.0006875457,0.000531142,0.001350928,0.0004482675,0.001903943,0.000559383,0.0008627943,0.02535261],"category_scores_gemma":[0.0006416576,0.0002344785,0.0002774563,0.001490854,0.0009644506,0.00202911,0.001027658,0.001637484,0.01207693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160487,"about_ca_system_score_gemma":0.000932095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367258,"about_ca_topic_score_gemma":0.004268628,"domain_scores_codex":[0.9998046,0.0000389894,0.00000773806,0.00002688959,0.0001068468,0.00001502986],"domain_scores_gemma":[0.9998156,0.0001038057,0.000008641322,0.00001331922,0.00004123617,0.00001736127],"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":[0.00001716602,0.00003746015,0.0001323999,0.000759344,0.00001073802,0.00009577039,0.0001635,0.0001904797,0.001314571,0.07533227,0.5498211,0.3721253],"study_design_scores_gemma":[0.000001499566,0.000004813855,0.0002293225,0.0002339437,0.000003399341,0.0002078884,0.00004250232,0.00004813844,0.0002215111,0.02181546,0.9771878,0.000003582868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0007576112,0.500194,0.0108003,0.01541602,0.01496617,0.00006846843,0.0006220038,0.0002977453,0.4568777],"genre_scores_gemma":[0.004890513,0.297889,0.008910448,0.01003742,0.007718877,0.0001061528,0.000561398,0.0002194315,0.6696669],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02535261,"threshold_uncertainty_score":0.08481288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743076944066275,"score_gpt":0.3101084792875345,"score_spread":0.2626777098468718,"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."}}