{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001559911,0.0001192932,0.0002599764,0.0000093332,0.00007243099,0.00002538925,0.00005834204,0.00004129027,0.00007343113],"category_scores_gemma":[0.00000806724,0.00008641393,0.0000145792,0.00005055725,0.0001230074,0.0001262563,0.0001052321,0.00007658178,4.659477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007875671,"about_ca_system_score_gemma":0.00005220282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7399321,"about_ca_topic_score_gemma":0.7001019,"domain_scores_codex":[0.9989722,0.00005824892,0.0002880744,0.0002611247,0.0001046387,0.000315684],"domain_scores_gemma":[0.9995574,0.00005094073,0.00007271776,0.00006461547,0.000003829489,0.0002504425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023327,0.00005623165,0.5416485,0.0001413882,0.00001410288,0.000001281827,0.00579092,0.0001206508,0.4510862,0.000002049287,0.0001902382,0.000846129],"study_design_scores_gemma":[0.004504686,0.0005198497,0.6447281,0.0002287959,0.00004953569,0.000004651627,0.001412694,0.004088659,0.2803217,0.0001045286,0.06327718,0.0007595384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956831,0.0001252519,0.0003483973,0.003504819,0.00002053135,0.0002381129,0.00005394875,0.000005466951,0.00002040536],"genre_scores_gemma":[0.9968265,0.0001588895,0.0009386027,0.001960456,0.00001039733,9.030068e-7,0.00004921496,0.0000104398,0.00004465471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1707644,"threshold_uncertainty_score":0.3523858,"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."}}