{"id":"W2138092433","doi":"10.1128/aem.03391-13","title":"Detection and Prevalence of Verotoxin-Producing Escherichia coli O157 and Non-O157 Serotypes in a Canadian Watershed","year":2014,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph; Public Health Agency of Canada","funders":"Canadian Water Network","keywords":"VTEC; Serotype; Escherichia coli; Watershed; Outbreak; Population; Surface water; Biology; Environmental health; Enterobacteriaceae; Immunomagnetic separation; Public health; Waterborne diseases; Microbiology; Geography; Medicine; Environmental science; Virology; Computer science; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004714938,0.0004242888,0.0003677476,0.002814167,0.003237996,0.001654668,0.0009338711,0.0004812945,0.0007159137],"category_scores_gemma":[0.001503032,0.0002586579,0.0002703376,0.003303214,0.001137216,0.0002285235,0.0006863739,0.000422497,0.0001044987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01855119,"about_ca_system_score_gemma":0.02235822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879323,"about_ca_topic_score_gemma":0.993522,"domain_scores_codex":[0.9985749,0.00005179692,0.00003980011,0.0002008684,0.000847512,0.0002851813],"domain_scores_gemma":[0.998525,0.00009240871,0.0001494457,0.00002972759,0.0009431051,0.0002603937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000206568,0.000171745,0.9580706,0.00007165946,0.00004355229,0.0008533641,0.002500836,0.0004387866,0.02071647,0.0002155877,0.0005740104,0.01613666],"study_design_scores_gemma":[0.000007334837,0.00009880024,0.9926739,0.00001443435,0.00002812661,0.0002498117,0.002381072,0.0007106214,0.002342043,0.00002516859,0.001445936,0.0000227383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996756,0.0001600739,0.0002359176,0.00008685041,0.000003512816,0.00006574935,0.0006289809,0.00001514814,0.002047678],"genre_scores_gemma":[0.9967301,0.00032153,0.001375759,0.00005439994,0.000002597487,0.00002121944,0.0005405771,0.000004616649,0.0009492247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01855119,"threshold_uncertainty_score":0.134599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003076882972495999,"score_gpt":0.1842974827086404,"score_spread":0.1812205997361443,"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."}}