{"id":"W2117787596","doi":"10.1128/aem.02789-12","title":"Biological and Physicochemical Wastewater Treatment Processes Reduce the Prevalence of Virulent Escherichia coli","year":2012,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Escherichia coli; Virulence; Microbiology; Wastewater; Biology; Sewage treatment; Chemistry; Biotechnology; Environmental science; Environmental engineering; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002239624,0.0003979101,0.0003338731,0.0002912409,0.0004092435,0.0006969622,0.0002220375,0.0004871545,0.001276731],"category_scores_gemma":[0.0003575375,0.0001375213,0.0002852668,0.0003740384,0.0002294249,0.0001722622,0.0002101877,0.0003042804,0.0002422065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119308,"about_ca_system_score_gemma":0.001456415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1111759,"about_ca_topic_score_gemma":0.1511836,"domain_scores_codex":[0.9996117,0.00004712936,0.00002684029,0.00007926166,0.0001439689,0.00009122508],"domain_scores_gemma":[0.9996982,0.00004090996,0.00006230181,0.00001632043,0.0001398662,0.00004234194],"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":[0.0001644056,0.000114293,0.01010164,0.00009184364,0.00001847949,0.00003516986,0.00004978797,0.0003824409,0.9824131,0.00002031392,0.00007917968,0.006529301],"study_design_scores_gemma":[0.00002803709,0.001600746,0.5891465,0.00001830255,0.00007013448,0.0001379997,0.000408153,0.002430072,0.4025026,0.00005183445,0.003578358,0.00002729109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983578,0.0001783996,0.0005534421,0.00005408155,0.000005311319,0.00002952631,0.0002254112,0.00001659815,0.0005793766],"genre_scores_gemma":[0.9946783,0.0002944221,0.001629088,0.00008980453,0.000004212742,0.00003021277,0.0005960327,0.000007305169,0.002670497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1111759,"threshold_uncertainty_score":0.2210575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254437930318203,"score_gpt":0.2288231310137331,"score_spread":0.2162787517105511,"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."}}