{"id":"W2903715432","doi":"10.1016/j.ygeno.2018.12.008","title":"Characterization of HPV integration, viral gene expression and E6E7 alternative transcripts by RNA-Seq: A descriptive study in invasive cervical cancer","year":2018,"lang":"en","type":"article","venue":"Genomics","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Pan American Health Organization; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ministry of Health, British Columbia; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Universidade Federal do Rio de Janeiro","keywords":"Biology; Alternative splicing; Gene; RNA splicing; Gene isoform; Genome; RNA; Genetics; Gene expression; DNA; Virology; Molecular biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001550927,0.0001291364,0.0002920892,0.000123273,0.00005086746,0.00001925602,0.000093213,0.00007587131,0.0006292289],"category_scores_gemma":[0.00004350985,0.0001113967,0.00003204446,0.0001670378,0.0001451711,0.0001198194,0.00005706218,0.0001919229,0.000003755252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745772,"about_ca_system_score_gemma":0.000190145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560086,"about_ca_topic_score_gemma":0.002096666,"domain_scores_codex":[0.9988807,0.0000817454,0.0003053537,0.0002988674,0.0002365753,0.0001966937],"domain_scores_gemma":[0.999323,0.00002737287,0.00007731998,0.0001476711,0.0003085351,0.0001161787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001287294,0.0002920182,0.01368399,0.0000417453,0.00003700328,0.000006043213,0.01899476,7.691426e-7,0.9416249,0.00001779283,0.0000501562,0.02396357],"study_design_scores_gemma":[0.002677035,0.0009830568,0.2926303,0.0000285364,0.00003437085,0.000002348222,0.001614601,0.0003419678,0.7013401,0.0001170968,0.000126748,0.000103798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967551,0.0001958523,0.001177509,0.0002366299,0.0001177468,0.000808732,0.0001193727,0.000009120908,0.0005799555],"genre_scores_gemma":[0.9986326,0.0004778228,0.0001551464,0.0002225045,0.0002292024,0.00008188029,0.00007566457,0.00001952039,0.0001057343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2789463,"threshold_uncertainty_score":0.6889615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206715816900816,"score_gpt":0.3188957056691091,"score_spread":0.276828547500101,"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."}}