{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000174515,0.0003524477,0.00225035,0.0002722956,0.0000200194,0.000002775741,0.0002006875,0.0007834911,0.0009936736],"category_scores_gemma":[0.00001888938,0.0002980789,0.0004542386,0.0003799113,0.0001574092,0.00002362331,0.00003584574,0.0005221267,0.00001878792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330917,"about_ca_system_score_gemma":0.002641678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009197118,"about_ca_topic_score_gemma":0.0004133585,"domain_scores_codex":[0.9981979,0.00008842787,0.0007121648,0.0004867635,0.0001272512,0.0003875265],"domain_scores_gemma":[0.9990381,0.0001191995,0.0004445662,0.0002650564,0.00006514219,0.00006791615],"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":[0.00009746678,0.00006409218,0.002325454,0.008699987,0.0003530231,0.000005694749,0.0001343038,0.00001537831,0.00002150386,0.00009086067,0.003523644,0.9846686],"study_design_scores_gemma":[0.001251953,0.0002021554,0.00008337378,0.01041206,0.0008678121,0.000008372112,0.00002312462,0.00001181326,0.000006944185,0.0001015602,0.9867635,0.0002673454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003320262,0.9939035,0.00000292194,0.0001980789,0.001027927,0.0008468914,0.0009572197,0.00001433509,0.00271717],"genre_scores_gemma":[0.0001584724,0.9972658,0.00008222887,0.0002255402,0.0002788934,0.0002888969,0.0005147618,0.00005664858,0.001128733],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9844012,"threshold_uncertainty_score":0.9999471,"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."}}