{"id":"W2268955333","doi":"10.2166/wqrj.2010.031","title":"Microbial and Physico-Chemical Characteristics of Surface Water Sources Used on Dairy Farms in Ontario","year":2010,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dairy Farmers of Ontario; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Dairy Farmers of Ontario","keywords":"Fecal coliform; Turbidity; Environmental science; Contamination; Clostridium perfringens; Surface water; Salmonella; Milking; Indicator organism; Campylobacter; Water quality; Environmental engineering; Pulp and paper industry; Veterinary medicine; Biology; Animal science; Ecology","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":[0.0001628238,0.0003531479,0.0002767087,0.000804711,0.001178614,0.0008070259,0.0003174195,0.0002411401,0.0007416702],"category_scores_gemma":[0.0005455012,0.0002386461,0.0002151065,0.001422119,0.0006114079,0.0001891544,0.0004066888,0.0001341582,0.0001275171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005004354,"about_ca_system_score_gemma":0.002952298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6640515,"about_ca_topic_score_gemma":0.8541375,"domain_scores_codex":[0.999503,0.00002247585,0.00001835868,0.00008256164,0.0002529158,0.0001205962],"domain_scores_gemma":[0.999436,0.00005356404,0.0001553627,0.00001259014,0.000248758,0.00009370448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003459971,0.00009347942,0.9318874,0.000110243,0.0000489059,0.0008520031,0.004303278,0.0002656667,0.05313468,0.00003226781,0.0001756945,0.00875039],"study_design_scores_gemma":[0.000003864187,0.0001433117,0.9948627,0.000006039042,0.00001202218,0.00006308137,0.001780196,0.0001388225,0.002469106,0.000007352588,0.0005082921,0.000005210256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994035,0.00002448522,0.00004542861,0.000007035017,6.34367e-7,0.00001111281,0.0001637481,0.000001286812,0.0003427152],"genre_scores_gemma":[0.9980165,0.00009839425,0.0001924286,0.00001277451,0.000001673974,0.00001225332,0.0005108922,0.000002179242,0.001152831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3359485,"threshold_uncertainty_score":0.675854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07361327891164612,"score_gpt":0.3387252915649424,"score_spread":0.2651120126532962,"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."}}