{"id":"W2005186769","doi":"10.1128/aem.00418-14","title":"Impact of UV and Peracetic Acid Disinfection on the Prevalence of Virulence and Antimicrobial Resistance Genes in Uropathogenic Escherichia coli in Wastewater Effluents","year":2014,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Université Paris-Est Créteil Val-de-Marne","keywords":"Peracetic acid; Escherichia coli; Antimicrobial; Microbiology; Virulence; Wastewater; Effluent; Biology; Antibiotic resistance; Bacteria; Food science; Gene; Antibiotics; Hydrogen peroxide; Environmental engineering; 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":[0.0003653811,0.0003813792,0.0003959511,0.0002781553,0.000193276,0.0004965712,0.0002199855,0.000480408,0.0006091935],"category_scores_gemma":[0.0004980495,0.0001417344,0.0003865823,0.000225247,0.000231972,0.0002581856,0.0002957222,0.0002991571,0.0001146628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966832,"about_ca_system_score_gemma":0.0002266404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040066,"about_ca_topic_score_gemma":0.001200223,"domain_scores_codex":[0.999257,0.000215142,0.00006316928,0.0001300994,0.0002401715,0.00009442872],"domain_scores_gemma":[0.9994156,0.0001932583,0.0001914709,0.0000474987,0.0001017851,0.00005042933],"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":[0.0003726659,0.00009577796,0.007632976,0.0001125368,0.00004393759,0.00004766319,0.00003697746,0.0002230162,0.9859887,0.00001871639,0.00002365122,0.005403194],"study_design_scores_gemma":[0.00001368804,0.001998123,0.1112759,0.00001488875,0.00007719432,0.0003235859,0.0001787258,0.0008030863,0.8842814,0.0000458122,0.0009726264,0.00001504237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988198,0.0005758432,0.0003450102,0.00001586938,0.000004775688,0.000006098803,0.00004902398,0.000006303992,0.0001772483],"genre_scores_gemma":[0.9977136,0.0005301753,0.001139379,0.00003981242,0.000005315581,0.00001448593,0.0001373866,0.000005681203,0.000414091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001040066,"threshold_uncertainty_score":0.002152562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00394587745590466,"score_gpt":0.2073902841154899,"score_spread":0.2034444066595852,"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."}}