{"id":"W2027797124","doi":"10.1016/j.watres.2015.02.038","title":"The distribution of Salmonella enterica serovars and subtypes in surface water from five agricultural regions across Canada","year":2015,"lang":"en","type":"article","venue":"Water Research","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Alberta Environment and Protected Areas; Agriculture Food and Rural Development; Environment and Climate Change Canada; University of Victoria; Agriculture and Agri-Food Canada; Public Health Agency of Canada","funders":"","keywords":"Serotype; Salmonella enterica; Pulsed-field gel electrophoresis; Salmonella; Feces; Veterinary medicine; Biology; Subtyping; Surface water; Microbiology; Antibiotic resistance; Pathogen; Sewage; Bacteria; Antibiotics; Medicine; Environmental science; Genotype; 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":[0.0003700487,0.0003971798,0.0003358785,0.002530758,0.002683134,0.001566303,0.0007702448,0.0003924744,0.001101509],"category_scores_gemma":[0.001281039,0.0003417566,0.0004087458,0.005156117,0.001047771,0.0003179559,0.0009789687,0.0003859271,0.00014679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01543565,"about_ca_system_score_gemma":0.02313417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928605,"about_ca_topic_score_gemma":0.9956963,"domain_scores_codex":[0.9991154,0.00004484764,0.00005849704,0.0001446124,0.0002892285,0.0003474653],"domain_scores_gemma":[0.9984016,0.0000833336,0.0001873578,0.00002590109,0.0009269702,0.0003749261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008518059,0.00001786243,0.9888269,0.0000468296,0.00003770163,0.0001142443,0.002915669,0.00008605236,0.001524288,0.000108909,0.0003841104,0.005852135],"study_design_scores_gemma":[0.00000221078,0.00002359846,0.9937807,0.00001843305,0.00001354232,0.00005426695,0.005001099,0.0001039349,0.0002240946,0.00001378796,0.000757752,0.000006512571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963149,0.0002793893,0.0001256455,0.00007896214,0.000004269304,0.00003361121,0.001817058,0.000007010795,0.001339089],"genre_scores_gemma":[0.9968008,0.000394216,0.0002428608,0.00007220651,0.000002374611,0.00001534655,0.001136676,0.000004094051,0.00133132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01543565,"threshold_uncertainty_score":0.111994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701091747034457,"score_gpt":0.3049582035702488,"score_spread":0.2348490288668031,"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."}}