{"id":"W2974257272","doi":"10.1021/acs.est.9b03486","title":"Plasmid Distribution among <i>Escherichia coli</i> from Livestock and Associated Wastewater: Unraveling Factors That Shape the Presence of Genes Conferring Third-Generation Cephalosporin Resistance","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Calgary; Agriculture and Agri-Food Canada; Alberta Health Services; Agriculture Food and Rural Development","funders":"Beef Cattle Research Council","keywords":"Plasmid; Biology; Escherichia coli; Antibiotic resistance; Wastewater; Mobile genetic elements; Microbiology; Gene; Bacteria; Horizontal gene transfer; Genetics; Cephalosporin; Antibiotics; Biotechnology; Phylogenetics; Environmental engineering","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":[0.0001909078,0.0001687161,0.0002715574,0.0005893885,0.0002087093,0.0008008128,0.0001311023,0.0003392978,0.0003595661],"category_scores_gemma":[0.0004541862,0.00009129415,0.0001373916,0.0005007978,0.0002096231,0.0002828993,0.0002556613,0.0001997135,0.0001188477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273705,"about_ca_system_score_gemma":0.0002043461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097659,"about_ca_topic_score_gemma":0.00217157,"domain_scores_codex":[0.9997455,0.00003799088,0.0000287218,0.00006543035,0.00005740928,0.00006481984],"domain_scores_gemma":[0.9997105,0.00006438053,0.0001146162,0.00001398104,0.00005771088,0.00003877852],"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":[0.0001847133,0.00006701476,0.1690441,0.00007755876,0.00002004569,0.0001106247,0.0003339127,0.000159816,0.8234417,0.00005650554,0.00003738494,0.006466517],"study_design_scores_gemma":[0.000005499024,0.000300305,0.898888,0.00001690117,0.00003079207,0.0007252696,0.001309416,0.001155366,0.09671935,0.00009379368,0.0007390726,0.00001613706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992986,0.00006710296,0.0003123569,0.00001784217,8.661288e-7,0.000004393945,0.0001090214,0.000003873178,0.0001860686],"genre_scores_gemma":[0.9986619,0.0001023823,0.0006797268,0.00002150636,0.000003080466,0.000006038602,0.0003837866,0.000003679967,0.0001380281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002097659,"threshold_uncertainty_score":0.004170895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007772748678140055,"score_gpt":0.1975343167398374,"score_spread":0.1897615680616973,"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."}}