{"id":"W2941026911","doi":"10.1080/07011784.2019.1595157","title":"Escherichia coli contamination of rural well water in Alberta, Canada is associated with soil properties, density of livestock and precipitation","year":2019,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Government of Alberta; University of Calgary","keywords":"Agriculture; Livestock; Groundwater; Public health; Logistic regression; Precipitation; Environmental science; Quarter (Canadian coin); Hydrology (agriculture); Environmental health; Contamination; Geography; Outbreak; Socioeconomics; Veterinary medicine; Mathematics; Ecology; Engineering; Medicine; Biology; Forestry; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004535124,0.0003464785,0.000248739,0.001160551,0.001432301,0.0008824861,0.0006965642,0.0002183888,0.00132128],"category_scores_gemma":[0.001105335,0.0002591464,0.0002444126,0.003418086,0.0007298847,0.0002048787,0.0005088693,0.0003430607,0.0001115496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01360326,"about_ca_system_score_gemma":0.01888899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934918,"about_ca_topic_score_gemma":0.9970714,"domain_scores_codex":[0.9994769,0.00004823704,0.00002476175,0.00008161786,0.0002226501,0.0001458755],"domain_scores_gemma":[0.9989786,0.0001017497,0.0002824424,0.00002765425,0.0004096385,0.0001998265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000844219,0.00006105563,0.9906445,0.00004021684,0.00002771898,0.0002048489,0.0004995663,0.0003562269,0.000535994,0.00009473568,0.0008111952,0.006639673],"study_design_scores_gemma":[0.000003718001,0.00002427495,0.9977593,0.00001649165,0.00001411766,0.000064353,0.001006557,0.0004605204,0.00008866716,0.0000318465,0.0005236299,0.000006493858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963498,0.0004377427,0.0001908407,0.0001659143,0.000005254989,0.0000243957,0.001223745,0.00001474012,0.001587489],"genre_scores_gemma":[0.9968651,0.000481403,0.0002865534,0.00004340824,0.000003029663,0.000008247745,0.0007337856,0.000003446096,0.001575049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360326,"threshold_uncertainty_score":0.09869897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738328597844235,"score_gpt":0.1674941076572184,"score_spread":0.1597557790593741,"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."}}