{"id":"W2969509328","doi":"10.2166/wh.2019.111","title":"Enteric viruses in municipal wastewater effluent before and after disinfection with chlorine and ultraviolet light","year":2019,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; Ministry of the Environment, Conservation and Parks","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Effluent; Coliphage; Enteric virus; Wastewater; Chlorine; Microbiology; Salmonella; Biology; Escherichia coli; Bacteriophage MS2; Ultraviolet; Ultraviolet light; Sewage treatment; Chemistry; Veterinary medicine; Environmental engineering; Environmental science; Bacteria; Bacteriophage; Medicine","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":[0.0002653843,0.0002825444,0.0003154216,0.000308204,0.0006046878,0.000648869,0.0002361646,0.0002909539,0.0005465129],"category_scores_gemma":[0.0003894369,0.0001111809,0.0002823362,0.0004810704,0.0003998366,0.0001426337,0.0001969727,0.0002134567,0.000121472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435559,"about_ca_system_score_gemma":0.001398156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3999401,"about_ca_topic_score_gemma":0.4791879,"domain_scores_codex":[0.9995097,0.00004003496,0.00002641646,0.00007767873,0.0002385087,0.0001075912],"domain_scores_gemma":[0.999725,0.00004307799,0.00004965837,0.00001111534,0.0001355705,0.00003547685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001663093,0.0002036432,0.2436699,0.0002885539,0.00005611939,0.0001854208,0.001661659,0.0009104898,0.7347002,0.00007227483,0.0002396322,0.01634888],"study_design_scores_gemma":[0.0000206515,0.001191525,0.8715594,0.00002331132,0.00005381876,0.0000738407,0.0009386118,0.001088439,0.1230772,0.00003283095,0.001918813,0.00002150215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991435,0.00009245986,0.0001515884,0.000004132627,0.000001805903,0.00001134507,0.0001661127,0.000005493485,0.000423719],"genre_scores_gemma":[0.9968149,0.0001142642,0.0005300947,0.00001715272,0.000001528854,0.00001347571,0.0005854358,0.00000367984,0.001919451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3999401,"threshold_uncertainty_score":0.7952244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732989095275261,"score_gpt":0.3146047313171137,"score_spread":0.2972748403643611,"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."}}