{"id":"W4394734725","doi":"10.1128/msphere.00760-23","title":"Monitoring ESBL- <i>Escherichia coli</i> in Swiss wastewater between November 2021 and November 2022: insights into population carriage","year":2024,"lang":"en","type":"article","venue":"mSphere","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesamt für Gesundheit; Fonds de recherche du Québec; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Carriage; Escherichia coli; Population; Wastewater; Microbiology; Biology; Medicine; Environmental health; Environmental science; Environmental engineering; Genetics","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":[0.0004235162,0.0005109045,0.0002756865,0.0007709739,0.0003519162,0.0007147878,0.0001846333,0.0005269528,0.0009304624],"category_scores_gemma":[0.0004606094,0.0001341001,0.0003554829,0.0008805743,0.0002439896,0.0002986165,0.0002773207,0.0002207391,0.0002835861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007125041,"about_ca_system_score_gemma":0.0003755823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02418131,"about_ca_topic_score_gemma":0.03080813,"domain_scores_codex":[0.9996855,0.00005579869,0.0000178156,0.00007906118,0.0001069406,0.00005499431],"domain_scores_gemma":[0.9994826,0.00008972488,0.0001922746,0.00002156183,0.0001613634,0.00005240938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002288626,0.00007407102,0.9625748,0.00006245769,0.00004553042,0.0002939672,0.0003024513,0.001830649,0.02887822,0.00002376752,0.0002894974,0.005395694],"study_design_scores_gemma":[0.000003569196,0.0001489884,0.9934382,0.000007449009,0.00001623928,0.0001048579,0.0002839029,0.001683226,0.003896649,0.00001446968,0.0003938667,0.000008539126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986674,0.00006562856,0.0002679838,0.00002593365,0.000002785371,0.000007667273,0.0006336329,0.00001214999,0.0003168719],"genre_scores_gemma":[0.9983838,0.00006120645,0.0002225456,0.00001217278,0.000006718493,0.00001384252,0.001009262,0.000003077858,0.0002874466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02418131,"threshold_uncertainty_score":0.0480811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00764569580197337,"score_gpt":0.2475508056520482,"score_spread":0.2399051098500748,"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."}}