{"id":"W3033014188","doi":"10.1111/zph.12720","title":"Antimicrobial resistance of <i>Salmonella</i> and generic <i>Escherichia coli</i> isolated from surface water samples used for recreation and a source of drinking water in southwestern Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Guelph; Ministry of the Environment, Conservation and Parks; Public Health Agency of Canada","funders":"","keywords":"Salmonella; Antibiotic resistance; Antimicrobial; Watershed; Surface water; Biology; Veterinary medicine; Drug resistance; Tetracycline; Escherichia coli; Streptomycin; Microbiology; Antibiotics; Bacteria; Medicine; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003308724,0.0004306726,0.0002975738,0.001111312,0.001787016,0.0009395253,0.0006848256,0.0002994022,0.0009178165],"category_scores_gemma":[0.0007829563,0.0003344262,0.0003298362,0.002754729,0.0007472881,0.0002296008,0.0004256082,0.0003175984,0.0001941145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01417502,"about_ca_system_score_gemma":0.01787332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875419,"about_ca_topic_score_gemma":0.9953762,"domain_scores_codex":[0.998976,0.00003920195,0.0000844218,0.0001737764,0.0004963667,0.0002302456],"domain_scores_gemma":[0.9984889,0.00004737412,0.0002890041,0.00003623208,0.0009249129,0.0002136475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009991371,0.00004211652,0.981447,0.00008684247,0.00003968607,0.0002744562,0.001477962,0.0001322353,0.007440991,0.00004259023,0.0011282,0.007788024],"study_design_scores_gemma":[0.000003195574,0.00003251819,0.9965574,0.0000131857,0.00001084258,0.00007216079,0.001280608,0.0001164149,0.0006458125,0.000003937564,0.001258126,0.000005969468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940176,0.0004677036,0.0001330325,0.0001117335,0.000006391999,0.00007466439,0.003112465,0.00001052014,0.002065857],"genre_scores_gemma":[0.9930583,0.0006593197,0.0006573715,0.0001481433,0.00000401181,0.00003419437,0.003207616,0.000006309809,0.002224719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01417502,"threshold_uncertainty_score":0.1028474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578433470790277,"score_gpt":0.2366460321330768,"score_spread":0.2008616974251741,"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."}}