{"id":"W2605411712","doi":"10.1021/acs.est.6b06274","title":"Environmental Growth of Enterococci and <i>Escherichia coli</i> in Feedlot Catch Basins and a Constructed Wetland in the Absence of Fecal Input","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Agriculture and Agri-Food Canada; Alberta Health Services; Agriculture Food and Rural Development","funders":"Beef Cattle Research Council; Government of Alberta","keywords":"Wetland; Enterococcus hirae; Feces; Biology; Fecal coliform; Enterococcus; Population; Indicator bacteria; Escherichia coli; Veterinary medicine; Ecology; Microbiology; Water quality; Antibiotics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000146903,0.0002534689,0.0002397714,0.0004610054,0.0002694874,0.0005185478,0.0001407555,0.0002369873,0.0004946403],"category_scores_gemma":[0.0004120551,0.0001576227,0.0001723313,0.000450415,0.000291088,0.0002818873,0.0003447748,0.0001865425,0.0001015806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006340067,"about_ca_system_score_gemma":0.0003606057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083722,"about_ca_topic_score_gemma":0.02770497,"domain_scores_codex":[0.999793,0.00003261344,0.00001462313,0.00006391733,0.00003890987,0.00005699212],"domain_scores_gemma":[0.9996281,0.00005774598,0.0001414088,0.00000872402,0.00006799313,0.00009600299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001681295,0.0003423997,0.8437428,0.00006393172,0.00007910069,0.0004747869,0.0005531266,0.000347693,0.1472141,0.00003020934,0.00008822687,0.005382308],"study_design_scores_gemma":[0.000003047442,0.0004759089,0.995451,0.000001983487,0.00001191312,0.00007111479,0.0002769337,0.0001591305,0.003479205,0.000004613443,0.00006156135,0.000003518563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998333,0.00001239953,0.00002055132,0.000001606315,5.711527e-7,0.000001608071,0.00005668642,7.374753e-7,0.0000724181],"genre_scores_gemma":[0.999337,0.00003276176,0.0001263057,0.000005388394,0.000001731925,0.000006012925,0.0003064977,0.000001212892,0.0001829545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083722,"threshold_uncertainty_score":0.02154827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007384288408685978,"score_gpt":0.2203243668993207,"score_spread":0.2129400784906347,"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."}}