{"id":"W2793993593","doi":"10.1371/journal.pone.0194619","title":"Assessment of viral methylation levels for high risk HPV types by newly designed consensus primers PCR and pyrosequencing","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Istituto Oncologico Veneto; Ontario Institute for Regenerative Medicine; Regione Emilia-Romagna; Università degli Studi di Torino; Associazione Italiana per la Ricerca sul Cancro; Università degli Studi di Firenze; Università degli Studi di Padova; Ministero della Salute; European Commission","keywords":"Pyrosequencing; DNA methylation; Methylation; Biology; Cervical cancer; Human papillomavirus; Papillomaviridae; Polymerase chain reaction; Gene; Molecular biology; Virology; Genetics; Cancer; Medicine; Internal medicine; Gene expression","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":[0.003875708,0.0008585978,0.001027703,0.001384242,0.0003580572,0.0007107513,0.000914829,0.0009377956,0.001305218],"category_scores_gemma":[0.005873444,0.0008251852,0.001002343,0.0007700976,0.0006760129,0.0004314861,0.0007116727,0.001215237,0.0008616245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585961,"about_ca_system_score_gemma":0.0005090949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004424764,"about_ca_topic_score_gemma":0.001523688,"domain_scores_codex":[0.9942934,0.001428965,0.000366033,0.002236822,0.001447134,0.0002276524],"domain_scores_gemma":[0.9963714,0.001113428,0.0006147496,0.0006277431,0.001150083,0.0001225642],"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":[0.0007587139,0.0001299233,0.02033212,0.0003856949,0.0001936434,0.0001043818,0.0005826773,0.002699281,0.9320881,0.0005562546,0.0001882065,0.04198089],"study_design_scores_gemma":[0.00007714326,0.001847292,0.06799412,0.0000837256,0.0004318376,0.001492846,0.0002239144,0.03312691,0.8884032,0.001068744,0.005115157,0.0001351272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4852855,0.001652266,0.5072259,0.00006449006,0.0001010025,0.0006018274,0.0018643,0.0009101424,0.002294547],"genre_scores_gemma":[0.383096,0.0005255315,0.6103674,0.0001238503,0.00003331821,0.001128366,0.002056713,0.0001782674,0.002490475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003875708,"threshold_uncertainty_score":0.0204969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09985667637721705,"score_gpt":0.3550558951029962,"score_spread":0.2551992187257792,"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."}}