{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003111983,0.0001941776,0.0002804221,0.0003755968,0.0003994887,0.0005821846,0.000167607,0.0003301442,0.0009411501],"category_scores_gemma":[0.0003453444,0.0001681008,0.0003831992,0.0004589595,0.0002731138,0.0002230069,0.0002641593,0.0004049379,0.0002958719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154484,"about_ca_system_score_gemma":0.0002758484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092856,"about_ca_topic_score_gemma":0.003041385,"domain_scores_codex":[0.9997943,0.00001813978,0.000009833157,0.00007575902,0.00005567309,0.00004631277],"domain_scores_gemma":[0.9998023,0.00007195619,0.00002561971,0.00002183438,0.00005768707,0.00002066828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001836375,0.00003979353,0.01617238,0.0000976374,0.00003066785,0.00009088455,0.000204774,0.0002131979,0.9770542,0.0001695704,0.00009449327,0.005648858],"study_design_scores_gemma":[0.00001720833,0.0005320773,0.4281965,0.00004213315,0.0002953512,0.001469127,0.001661474,0.007233332,0.5464841,0.0007042553,0.01332137,0.00004305123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876963,0.0009379494,0.007145754,0.00005459645,0.00002039825,0.00005881082,0.002413182,0.00004447732,0.001628457],"genre_scores_gemma":[0.9808078,0.0009973878,0.009362061,0.0002184417,0.00002646591,0.0001551609,0.005260841,0.00008322053,0.003088585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001092856,"threshold_uncertainty_score":0.003148496,"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."}}