{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501857,0.00009201997,0.0003788243,0.0001469815,0.00002425834,0.0000156744,0.00001917848,0.00003275625,0.00002125511],"category_scores_gemma":[0.000004990491,0.0000455464,0.00002219864,0.00002556826,0.00004614198,0.0001191294,0.00003109059,0.0002341657,0.000001534013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878414,"about_ca_system_score_gemma":0.00001769593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002131709,"about_ca_topic_score_gemma":0.0004304524,"domain_scores_codex":[0.9991226,0.00006321213,0.0003106837,0.0001127482,0.0001023399,0.0002884544],"domain_scores_gemma":[0.9996065,0.000004281099,0.00006062739,0.00006182666,0.00002946521,0.0002372959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001822527,0.00005903849,0.9926882,0.0002384556,0.00002056076,0.0000698689,0.001131195,9.63973e-7,0.002410665,0.000001345963,0.00003305962,0.001524067],"study_design_scores_gemma":[0.003002546,0.007722078,0.9845235,0.0004986639,0.0000111662,0.001928791,0.000159766,0.00001894323,0.0004575504,0.00002932639,0.001606769,0.00004084996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931934,0.0004607952,0.00000655584,0.00610695,0.0000534511,0.0001628443,0.000002014136,0.000002307523,0.00001163784],"genre_scores_gemma":[0.9968482,0.001834771,0.0001018906,0.001033437,0.00009564168,0.000003008214,0.000002922397,0.00000814145,0.00007204504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008164702,"threshold_uncertainty_score":0.1857328,"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."}}