{"id":"W2337193748","doi":"10.3389/fcimb.2016.00036","title":"Phenotypic and Genotypic Characteristics of Shiga Toxin-Producing Escherichia coli Isolated from Surface Waters and Sediments in a Canadian Urban-Agricultural Landscape","year":2016,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Agriculture and Agri-Food Canada; University of British Columbia","funders":"Statens Serum Institut; Health Canada; Public Health Agency; Public Health Agency of Canada; Agriculture and Agri-Food Canada; Canadian Food Inspection Agency","keywords":"Intimin; Virulence; Biology; Escherichia coli; Shiga toxin; Genotype; Microbiology; Serotype; Veterinary medicine; Gene; Enterobacteriaceae; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124468,0.0002898738,0.0002362471,0.001180306,0.00132078,0.0007417773,0.0002779183,0.0002127575,0.0003685309],"category_scores_gemma":[0.0004346686,0.000175123,0.00009982127,0.001596514,0.0006548635,0.0001004599,0.0003065212,0.0001756931,0.00007539638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003264372,"about_ca_system_score_gemma":0.002940509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8297269,"about_ca_topic_score_gemma":0.9262663,"domain_scores_codex":[0.9996395,0.00001364589,0.00001156191,0.00005400071,0.0001670292,0.0001141482],"domain_scores_gemma":[0.9996786,0.00001878501,0.0000448322,0.000006662924,0.0001528018,0.00009836543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002081212,0.00009350639,0.938561,0.00005053006,0.00003135646,0.0004577818,0.001597904,0.0002589779,0.05194883,0.0000504409,0.0002174164,0.006524087],"study_design_scores_gemma":[0.000001467463,0.00003048503,0.9983846,0.000002055285,0.000004366215,0.00008022718,0.0005567808,0.00008539642,0.0006528962,0.000004271271,0.0001945196,0.00000295379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995103,0.00003875675,0.0000299327,0.000006570058,5.694949e-7,0.00000657301,0.0001793975,0.000001345655,0.0002264965],"genre_scores_gemma":[0.9987081,0.0001009097,0.000164422,0.00001559741,0.000001355621,0.000005330464,0.000661699,0.000001453642,0.0003411115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702731,"threshold_uncertainty_score":0.3425516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004384957367658123,"score_gpt":0.1946756116553709,"score_spread":0.1902906542877128,"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."}}