{"id":"W4407285164","doi":"10.1093/jcag/gwae059.022","title":"A22 USING AN AIR-LIQUID INTERFACE (ALI) COLONOID MODEL TO DEFINE INTESTINAL MICROBE-MUCUS INTERACTIONS: CITROBACTER RODENTIUM EMPLOYS ESPC TO PENETRATE MOUSE COLONIC MUCUS","year":2025,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Citrobacter rodentium; Mucus; Citrobacter; Microbiology; Biology; Gut microflora; Bacteria; Enterobacteriaceae; Ecology; Escherichia coli; Pathogen; Biochemistry","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":[0.0006957673,0.0007500377,0.0003022337,0.0007351695,0.000462082,0.000640802,0.0005070831,0.001065649,0.004004021],"category_scores_gemma":[0.0002500604,0.0003845623,0.000715182,0.0003913773,0.0005273998,0.0007341726,0.0005749839,0.001311354,0.001287507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187804,"about_ca_system_score_gemma":0.0004868367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003829406,"about_ca_topic_score_gemma":0.006452188,"domain_scores_codex":[0.9991474,0.0001568739,0.00009256098,0.0001959607,0.0002246873,0.0001825594],"domain_scores_gemma":[0.9995616,0.00007313171,0.0001055586,0.00006975728,0.00007991162,0.0001099648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001327642,0.00007189267,0.0001719127,0.00002306031,0.000003129461,0.00005615659,0.00003409573,0.00003950797,0.9984471,0.0001820829,0.00007035726,0.0007680181],"study_design_scores_gemma":[0.00002048403,0.0006947943,0.002573319,0.00000988466,0.00001161954,0.0001464313,0.00006780595,0.0006902119,0.9929783,0.00004990375,0.002749722,0.000007576888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609156,0.001114626,0.02480867,0.0005987667,0.0002752703,0.0004837651,0.002214249,0.0004602933,0.009128775],"genre_scores_gemma":[0.9259738,0.0009492139,0.04470738,0.0003759568,0.00002523859,0.0005218519,0.001797047,0.0002168883,0.0254326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004004021,"threshold_uncertainty_score":0.01339483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385232983968821,"score_gpt":0.283584150308462,"score_spread":0.2697318204687738,"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."}}