{"id":"W4410281170","doi":"10.21203/rs.3.rs-6572358/v1","title":"Small intestinal microbial fiber metabolism dysfunction in celiac disease","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Celiac Disease Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; McMaster University; AstraZeneca","keywords":"Dietary fiber; Disease; Fiber; Metabolism; Microbial metabolism; Malabsorption syndromes; Gastroenterology; Internal medicine; Microbiology; Chemistry; Medicine; Biology; Bacteria; Food science; Malabsorption; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004649409,0.000267554,0.0003166279,0.0003226961,0.0001370884,0.0008323531,0.0001346791,0.0004104497,0.01307891],"category_scores_gemma":[0.001598812,0.00008850195,0.0001316467,0.0004334842,0.0001796948,0.0003283372,0.000275339,0.0003597819,0.001593993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979559,"about_ca_system_score_gemma":0.0003516897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009508359,"about_ca_topic_score_gemma":0.0005505038,"domain_scores_codex":[0.9998873,0.00004245048,0.000006464477,0.00001889571,0.00003208994,0.00001274837],"domain_scores_gemma":[0.9996779,0.0001495479,0.00003663404,0.00003436655,0.00005196528,0.00004965366],"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":[0.01020814,0.0007665752,0.08418492,0.002039834,0.0005704994,0.006332318,0.001112057,0.003725339,0.06016284,0.05556376,0.2220478,0.553286],"study_design_scores_gemma":[0.0009369262,0.001046394,0.3998893,0.0008027341,0.000678052,0.01165591,0.002080099,0.03375261,0.03393946,0.2530922,0.2620623,0.00006404419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821342,0.04334604,0.02144862,0.04227931,0.007074718,0.00007696866,0.007836572,0.0008600526,0.09494345],"genre_scores_gemma":[0.9325676,0.0114669,0.009657026,0.0008795196,0.001956663,0.00003993803,0.002729273,0.0001832492,0.04051971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01307891,"threshold_uncertainty_score":0.04375327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06614423884542261,"score_gpt":0.3817074379116984,"score_spread":0.3155631990662757,"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."}}