{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002513377,0.0001807355,0.0002844325,0.0001809513,0.0002109394,0.00002388318,0.0002632235,0.0001290757,0.00001421877],"category_scores_gemma":[0.00005450636,0.0002241784,0.00008832284,0.0003638231,0.0001021145,0.0000154658,0.0004052806,0.0001109521,0.00001810886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001820568,"about_ca_system_score_gemma":0.00008350799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004412214,"about_ca_topic_score_gemma":0.00004810438,"domain_scores_codex":[0.9988335,0.0001159084,0.0001497396,0.0004254745,0.0001029798,0.000372407],"domain_scores_gemma":[0.999287,0.00003199993,0.0001135616,0.0003129719,0.00007578234,0.0001786644],"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":[0.0003568648,0.0000253863,0.000916782,0.00005590239,0.00006462752,0.00000738431,0.0003294266,0.000003421024,0.9841453,0.00005074844,0.01325511,0.0007890901],"study_design_scores_gemma":[0.00144318,0.0002001153,0.1708247,0.00006389663,0.00006881094,0.0000138174,0.002353617,0.00005383734,0.618198,0.000002779323,0.2063298,0.000447431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971898,0.0006800962,0.0002691264,0.0008628863,0.0001084952,0.0001992757,0.0004291655,0.00003363082,0.0002274959],"genre_scores_gemma":[0.9890892,0.000452296,0.001696902,0.0002992027,0.00005583362,7.320101e-7,0.0001742593,0.00002467373,0.008206886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3659472,"threshold_uncertainty_score":0.914173,"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."}}