{"id":"W3042490842","doi":"10.3390/genes11070808","title":"Intestinal Microbiota Influences DNA Methylome and Susceptibility to Colorectal Cancer","year":2020,"lang":"en","type":"letter","venue":"Genes","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Cancer Research Society","keywords":"Epigenetics; Colorectal cancer; DNA methylation; Inflammatory bowel disease; Biology; Reprogramming; Carcinogenesis; Mediator; Microbiome; Mouse model of colorectal and intestinal cancer; Intestinal epithelium; Gut flora; Cancer; Immunology; Cancer research; Disease; Bioinformatics; Genetics; Gene; Medicine; Gene expression; Epithelium; Cell biology; 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"],"consensus_categories":[],"category_scores_codex":[0.0001125124,0.0002855206,0.0002693523,0.00004181486,0.00008053535,0.00005876616,0.0002254564,0.0004152716,0.00003813703],"category_scores_gemma":[0.0001255925,0.000270071,0.00008378226,0.0001067223,0.0001196016,0.000001843048,0.0002581997,0.0002849864,0.00001732534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002026503,"about_ca_system_score_gemma":0.0001297299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190032,"about_ca_topic_score_gemma":0.0001832684,"domain_scores_codex":[0.9985199,0.000103667,0.0002597601,0.0007043526,0.0001332146,0.0002791344],"domain_scores_gemma":[0.9993939,0.00002996588,0.0001078983,0.0002372648,0.0001283883,0.0001025721],"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":[0.00002705873,0.000005639312,0.005773363,0.000077251,0.00004807633,0.00001052158,0.00003638635,0.0000113536,0.9215802,2.649471e-7,0.06817286,0.004257014],"study_design_scores_gemma":[0.00008148517,0.0002184139,0.003400801,0.0000175734,0.0000338419,0.000003124595,0.000008026488,0.000003007978,0.5247642,0.00004543391,0.4711635,0.0002605587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8979449,0.009181657,0.000110111,0.09183651,0.0003082564,0.0003059628,0.0002305199,0.00001621194,0.00006583214],"genre_scores_gemma":[0.3749886,0.007092244,0.01131975,0.5863524,0.01537168,0.0003276058,0.002663009,0.0002413773,0.001643346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5229564,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781578458745006,"score_gpt":0.2786032954672816,"score_spread":0.2607875108798315,"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."}}