{"id":"W2891339347","doi":"10.1172/jci.insight.122104","title":"Microbiota-sensitive epigenetic signature predicts inflammation in Crohn’s disease","year":2018,"lang":"en","type":"article","venue":"JCI Insight","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Crohn's and Colitis Foundation of America; National Institute of General Medical Sciences; Crohn's and Colitis Foundation; Pew Charitable Trusts; Burroughs Wellcome Fund","keywords":"H3K4me3; Epigenetics; Inflammation; Biology; Histone; Inflammatory bowel disease; Immunology; Microbiome; Pathogenesis; Crohn's disease; Disease; Gene; Gene expression; Genetics; Medicine; Promoter; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002090503,0.0001498894,0.0002353049,0.0005615259,0.0001324983,0.0002626194,0.00009246256,0.0002616901,0.001361256],"category_scores_gemma":[0.0005627252,0.0001067801,0.0001612191,0.0003966907,0.0001507639,0.0001604202,0.0002100146,0.0002550689,0.0001883478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046638,"about_ca_system_score_gemma":0.00008189628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004161296,"about_ca_topic_score_gemma":0.0007834951,"domain_scores_codex":[0.9999049,0.00002230331,0.00001150033,0.00002548115,0.00001979067,0.00001606382],"domain_scores_gemma":[0.9997169,0.00005189738,0.000120938,0.0000217474,0.0000310371,0.00005742549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008649988,0.00004698327,0.9310713,0.00003963752,0.00007991155,0.0002855279,0.00009110002,0.0001079945,0.05813869,0.0000678392,0.0001819081,0.009024075],"study_design_scores_gemma":[0.000003804278,0.00007911397,0.9967752,0.00000511903,0.00002980747,0.0006420987,0.00004698035,0.0002493753,0.0018027,0.00007867442,0.0002844388,0.000002681785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981576,0.0006609868,0.000368179,0.00005305857,0.000006757939,0.000004155678,0.0001936971,0.00001020961,0.0005453313],"genre_scores_gemma":[0.9991491,0.0001904669,0.0003294125,0.00002210301,0.000007035199,0.000002299244,0.0001608969,0.000002589327,0.0001359659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001361256,"threshold_uncertainty_score":0.004553854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007125460447743321,"score_gpt":0.238727468117752,"score_spread":0.2316020076700087,"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."}}