{"id":"W1986799329","doi":"10.1016/j.watres.2010.10.001","title":"Molecular subtypes of Campylobacter spp., Salmonella enterica, and Escherichia coli O157:H7 isolated from faecal and surface water samples in the Oldman River watershed, Alberta, Canada","year":2010,"lang":"en","type":"article","venue":"Water Research","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Wilfrid Laurier University; University of Lethbridge; Health Canada; Alberta Environment and Protected Areas; Environment and Climate Change Canada; Public Health Agency of Canada","funders":"Agriculture and Agri-Food Canada; Health Canada","keywords":"Campylobacter; Biology; Salmonella enterica; Serotype; Salmonella; Feces; Sewage; Microbiology; Subtyping; Veterinary medicine; Escherichia coli; Surface water; Campylobacter coli; Pulsed-field gel electrophoresis; Bacteria; Genotype; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001022946,0.0002210396,0.0003564938,0.00002331501,0.0001722039,0.00008493758,0.0004677154,0.0001952348,0.0004793744],"category_scores_gemma":[0.00005484166,0.00006652762,0.00004769451,0.0001487233,0.0004763997,0.00008215814,0.0003334093,0.0005475903,0.00002355086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002287994,"about_ca_system_score_gemma":0.00001785528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8241513,"about_ca_topic_score_gemma":0.6490889,"domain_scores_codex":[0.9971855,0.0007882756,0.0003489358,0.0005221774,0.0003533663,0.000801748],"domain_scores_gemma":[0.9991063,0.0004189945,0.00003527827,0.0001800864,0.00009922536,0.0001600501],"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":[0.0001151249,0.00003985363,0.2087239,0.000007726587,0.00002152702,0.00003052475,0.001126364,0.000001736217,0.789277,0.00001777265,0.0002394622,0.0003989608],"study_design_scores_gemma":[0.0004145303,0.0002675222,0.7449521,0.00001640266,0.00001633771,0.00001978406,0.0007967532,0.0001502718,0.2304681,0.0009537486,0.02162362,0.0003208385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953547,0.00009523854,6.722432e-7,0.003946333,0.00008259356,0.0003094272,0.00005010396,0.000008304238,0.0001526107],"genre_scores_gemma":[0.9991218,0.00005448663,0.00003791506,0.0003303245,0.0000687934,0.00001271518,0.0001864002,0.000003817728,0.0001837568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.558809,"threshold_uncertainty_score":0.5248814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028667029001177,"score_gpt":0.2563083618262176,"score_spread":0.2276413328250406,"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."}}