{"id":"W3084474841","doi":"10.1016/j.mib.2020.08.005","title":"Epigenome-metabolome-microbiome axis in health and IBD","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Canadian Institutes of Health Research; National Institute of Diabetes and Digestive and Kidney Diseases; Norges Idrettshøgskole; Kenneth Rainin Foundation; National Institute of Allergy and Infectious Diseases; Harvard Catalyst; Harvard University","keywords":"Epigenome; Biology; Microbiome; Epigenetics; Metabolome; Context (archaeology); Crosstalk; Genetics; Immune system; Phenotype; Epigenomics; DNA methylation; Immunology; Gene; Bioinformatics; Metabolomics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005339272,0.0007088627,0.00223069,0.0005362213,0.00007556063,0.0000258183,0.0004871576,0.0007835313,0.00002829815],"category_scores_gemma":[0.00007111491,0.0006722967,0.0002851053,0.0005369164,0.0002316733,0.000004751433,0.0005179555,0.0008824223,0.00009230231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862976,"about_ca_system_score_gemma":0.001253525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003900068,"about_ca_topic_score_gemma":0.0000392826,"domain_scores_codex":[0.9953707,0.0008049142,0.001498135,0.001383249,0.00003708269,0.0009058756],"domain_scores_gemma":[0.9985923,0.00004343221,0.000571814,0.0004850358,0.00003425121,0.0002731219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000612241,0.0003235941,0.0006035685,0.0518017,0.0001030253,0.000004197104,0.0002934924,6.018464e-7,0.007311782,0.000193096,0.01325591,0.9260478],"study_design_scores_gemma":[0.0006566584,0.000294274,0.00005468858,0.004683534,0.00001280355,0.0001128569,0.00002431212,2.616499e-7,0.000007587214,0.000009048284,0.9935988,0.0005451327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001907038,0.9946017,0.00002300199,0.0002524081,0.002985402,0.001299493,0.0006139361,0.00001663983,0.00001677465],"genre_scores_gemma":[0.000033212,0.9921302,0.0001726484,0.0001798508,0.0005320727,0.00009452528,0.006731859,0.00007390323,0.00005174969],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9803429,"threshold_uncertainty_score":0.9995728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06074394481647245,"score_gpt":0.3843970312609736,"score_spread":0.3236530864445011,"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."}}