{"id":"W4411928138","doi":"10.1093/ibd/izaf135","title":"Fecal Microbial Community Profiling Allows Discrimination of Phenotype and Treatment Response in Pediatric Crohn’s Disease and Ulcerative Colitis—An International Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Alberta Hospital; University of Alberta; University of Toronto; McMaster University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Ulcerative colitis; Medicine; Microbiome; Interquartile range; Internal medicine; Gastroenterology; Inflammatory bowel disease; Crohn's disease; Receiver operating characteristic; Disease; Biomarker; Feces; Infliximab; Immunology; Bioinformatics; Biology; Microbiology","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":[0.01995189,0.002256162,0.008011376,0.006251962,0.0006183918,0.003499994,0.001464294,0.001453708,0.002063004],"category_scores_gemma":[0.02477558,0.00101535,0.0296609,0.007145038,0.0005462621,0.001256677,0.001759613,0.001671462,0.0002693422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00098609,"about_ca_system_score_gemma":0.001199359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002849415,"about_ca_topic_score_gemma":0.003553262,"domain_scores_codex":[0.986156,0.007513212,0.002163506,0.002568671,0.00119733,0.0004011588],"domain_scores_gemma":[0.9769369,0.01547829,0.00344233,0.002304903,0.001343847,0.0004938025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00654252,0.000038737,0.1419035,0.01352292,0.8188699,0.0001545758,0.00006619934,0.001301336,0.0006221089,0.00009678908,0.0006401063,0.01624134],"study_design_scores_gemma":[0.0004786684,0.0005004712,0.08745117,0.002126646,0.9054459,0.0002654417,0.00008319311,0.001537799,0.0003153184,0.0002684421,0.001491113,0.00003575151],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1610831,0.8275681,0.005154856,0.0007259538,0.0003589992,0.0002096073,0.003704519,0.0001408091,0.001053994],"genre_scores_gemma":[0.9312987,0.06104077,0.003419174,0.0005221021,0.000256214,0.0002715517,0.002793451,0.0001027732,0.000295156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01995189,"threshold_uncertainty_score":0.105517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249193637095316,"score_gpt":0.306100279962439,"score_spread":0.2811809162529074,"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."}}