{"id":"W6962932568","doi":"10.17863/cam.96257","title":"Enterohemorrhagic Escherichia coli responds to gut microbiota metabolites by altering metabolism and activating stress responses.","year":2023,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Killam Trusts; Michael Smith Health Research BC; University of Alberta","keywords":"Escherichia coli; Gut flora; Bacteria; Metabolism; Microbial metabolism; Colonization; Colonisation resistance; In vitro; Oxidative stress","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002309187,0.0007287539,0.00051347,0.0003614491,0.000376933,0.0006384584,0.000184509,0.0004257348,0.0004345079],"category_scores_gemma":[0.0002988287,0.0002046437,0.0005471298,0.0004575551,0.0002621271,0.0003492038,0.0005284811,0.0005567958,0.0003287162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730471,"about_ca_system_score_gemma":0.0003630375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420998,"about_ca_topic_score_gemma":0.00227406,"domain_scores_codex":[0.999686,0.00004528968,0.0000219808,0.00009269136,0.00009398983,0.00006002827],"domain_scores_gemma":[0.9998232,0.00003282358,0.00005152423,0.00001617907,0.00005105782,0.00002542343],"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":[0.00008399988,0.00003014407,0.005450654,0.0001879084,0.0000198456,0.00007310115,0.00006194194,0.0001991823,0.9899324,0.00004870989,0.0001382302,0.00377381],"study_design_scores_gemma":[0.00001737361,0.0005095765,0.2408847,0.0001015899,0.0001710438,0.0006118699,0.001040076,0.00707554,0.7374464,0.0004794828,0.01158284,0.00007934644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750257,0.003466878,0.01174229,0.0004141525,0.0001328583,0.00008837903,0.00597218,0.0002993448,0.002858232],"genre_scores_gemma":[0.9632682,0.003377589,0.01990016,0.0008126338,0.00004989854,0.0001597759,0.009445075,0.0001051085,0.002881458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001420998,"threshold_uncertainty_score":0.002825379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008638502926570705,"score_gpt":0.2267403721383011,"score_spread":0.2181018692117304,"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."}}