{"id":"W4293212717","doi":"10.1128/iai.00314-22","title":"Simulated Colonic Fluid Replicates the <i>In Vivo</i> Growth Capabilities of Citrobacter rodentium <i>cpxRA</i> Mutants and Uncovers Additive Effects of Cpx-Regulated Genes on Fitness","year":2022,"lang":"en","type":"article","venue":"Infection and Immunity","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Citrobacter rodentium; Biology; Citrobacter; Microbiology; Pathogen; Escherichia coli; Colonization; Mutant; Gastrointestinal tract; Enteropathogenic Escherichia coli; In vivo; Enterobacteriaceae; Gene; Genetics; 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":[0.0003343248,0.0008136806,0.0005448929,0.0002714366,0.0002301654,0.00072363,0.0004659696,0.0008170374,0.001601509],"category_scores_gemma":[0.0006363146,0.000223046,0.0003927626,0.00026807,0.0005189718,0.0003776941,0.0005812182,0.0008617534,0.000430306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087473,"about_ca_system_score_gemma":0.0005331521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002427248,"about_ca_topic_score_gemma":0.001857055,"domain_scores_codex":[0.9991141,0.0002284943,0.00007909931,0.0001647246,0.0002267114,0.0001869555],"domain_scores_gemma":[0.9990995,0.0002197512,0.0002095721,0.0001429082,0.0001009886,0.0002273004],"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":[0.001182837,0.0003379188,0.00141557,0.00006293871,0.00001903105,0.00006627024,0.00004313599,0.0006668436,0.9946655,0.0001055615,0.0001005868,0.001333786],"study_design_scores_gemma":[0.00004960732,0.00292136,0.005843822,0.00001507469,0.00002310557,0.0001375258,0.0001849058,0.003656453,0.9858495,0.0001052016,0.001175582,0.00003776951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959693,0.0002137263,0.001515671,0.0001254333,0.00006225517,0.00004718856,0.0007164367,0.00008006745,0.00127002],"genre_scores_gemma":[0.9948332,0.0001867095,0.002303069,0.000076082,0.000008898998,0.00006317636,0.001083954,0.00004574925,0.001399137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002427248,"threshold_uncertainty_score":0.005357623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005382271118387728,"score_gpt":0.2337455297990169,"score_spread":0.2283632586806292,"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."}}