{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009952884,0.0002070238,0.0002012875,0.00003104324,0.000053591,0.0001091957,0.0001138006,0.0002424371,0.0000768363],"category_scores_gemma":[0.00001949927,0.000190508,0.00005127148,0.0001651728,0.0000444278,0.00001936054,0.0001291599,0.0001639767,0.00002253817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004433837,"about_ca_system_score_gemma":0.00003444717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003147239,"about_ca_topic_score_gemma":0.0006409037,"domain_scores_codex":[0.9988213,0.00005355084,0.0002729247,0.0004807709,0.0001298375,0.0002416308],"domain_scores_gemma":[0.9995618,0.00001664872,0.00004031281,0.000278422,0.00002770607,0.00007508661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000249146,0.00001380984,0.3283687,0.00009871551,0.0000436255,0.00002179287,0.000184743,0.00001480995,0.6689363,0.00002464386,0.0002447512,0.002023149],"study_design_scores_gemma":[0.0005281865,0.00009269487,0.6219339,0.0003720091,0.00004475754,0.000004179383,0.0003088398,0.00009497831,0.354531,0.0004189671,0.02114567,0.0005247788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940031,0.004150831,0.00007862638,0.00008281771,0.0005171744,0.0001717722,0.000007929607,0.00001654899,0.000971254],"genre_scores_gemma":[0.9966347,0.0002271826,0.0006974313,0.00002445298,0.0007448649,0.000009580611,0.00009106219,0.00004555204,0.001525236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3144053,"threshold_uncertainty_score":0.7768689,"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."}}