{"id":"W2972765161","doi":"10.1016/j.semcancer.2019.09.006","title":"Translational genomics of nasopharyngeal cancer","year":2019,"lang":"en","type":"review","venue":"Seminars in Cancer Biology","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; University Health Network; Princess Margaret Cancer Centre","funders":"Health and Medical Research Fund; Innovation and Technology Fund; Chinese University of Hong Kong; Research Grants Council, University Grants Committee; Canada Foundation for Innovation","keywords":"Nasopharyngeal carcinoma; Biology; Carcinogenesis; Cancer; Genomics; Exome; Cancer research; Exome sequencing; Genome; Computational biology; Gene; Bioinformatics; Mutation; Genetics; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007267129,0.0003112042,0.0004480435,0.0004043069,0.0003708567,0.001303585,0.0003230735,0.0004445399,0.003491807],"category_scores_gemma":[0.0007852288,0.0001295274,0.000419911,0.0005915005,0.0003367465,0.0004653863,0.0008454859,0.001192488,0.001502971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009978922,"about_ca_system_score_gemma":0.001429044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368526,"about_ca_topic_score_gemma":0.001381638,"domain_scores_codex":[0.9997583,0.00005381258,0.00001290523,0.00006854697,0.00006114179,0.00004535235],"domain_scores_gemma":[0.9997877,0.00003748399,0.00003586848,0.00002988077,0.00005389346,0.00005516588],"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":[0.000796693,0.000197041,0.007306624,0.002466773,0.0002412659,0.00128154,0.0009103024,0.003829655,0.293646,0.09208089,0.06796246,0.5292808],"study_design_scores_gemma":[0.00009816344,0.000646083,0.01984221,0.0005508438,0.000233558,0.00143968,0.0005902819,0.003828083,0.03672191,0.03752631,0.8984709,0.00005187597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3020199,0.2905558,0.1083873,0.05840889,0.009480381,0.0008955608,0.03179314,0.003430255,0.1950288],"genre_scores_gemma":[0.7416841,0.1231929,0.04488678,0.009569464,0.002328695,0.0006391484,0.04430756,0.0007638968,0.03262746],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003491807,"threshold_uncertainty_score":0.01168132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696815893233945,"score_gpt":0.3929633295597109,"score_spread":0.3359951706273714,"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."}}