{"id":"W4416528840","doi":"10.1080/17501911.2025.2591594","title":"Integrating gut microbiome and host transcriptomics for the personalized management of IBD","year":2025,"lang":"en","type":"article","venue":"Epigenomics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Epigenomics; Microbiome; Dysbiosis; Inflammatory bowel disease; Gut flora; Transcriptome; Disease; Precision medicine; Ulcerative colitis","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":[0.00220324,0.0005055809,0.0009722071,0.001235107,0.0003355958,0.001910088,0.0003798816,0.0006713514,0.001982908],"category_scores_gemma":[0.002836755,0.0002397221,0.0007237052,0.001124958,0.000393248,0.001293462,0.001502384,0.001457303,0.000470294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006070217,"about_ca_system_score_gemma":0.001315885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159377,"about_ca_topic_score_gemma":0.002690301,"domain_scores_codex":[0.9992136,0.0004106244,0.00004485076,0.0001391477,0.0001372278,0.00005452534],"domain_scores_gemma":[0.9989613,0.0004849093,0.0001733212,0.0001303936,0.0001602611,0.00008975499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001177534,0.0002369169,0.08058064,0.002946807,0.001290425,0.0004784132,0.0006329737,0.01497883,0.1457208,0.01196503,0.01124697,0.7287447],"study_design_scores_gemma":[0.000282423,0.001506293,0.272534,0.004220759,0.003258872,0.002871307,0.002604953,0.09832032,0.1040816,0.1818933,0.327933,0.0004931909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.265557,0.2558768,0.4038283,0.04377959,0.00235927,0.0003549566,0.01125836,0.002504396,0.0144813],"genre_scores_gemma":[0.6205497,0.09544396,0.2665947,0.008159376,0.001861507,0.0002365388,0.004250054,0.0003454595,0.002558629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00220324,"threshold_uncertainty_score":0.01165199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009576650272391908,"score_gpt":0.2698185224166537,"score_spread":0.2602418721442618,"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."}}