{"id":"W2906916804","doi":"10.1016/j.scitotenv.2018.12.378","title":"Fecal contamination of storm sewers: Evaluating wastewater micropollutants, human-specific Bacteroides 16S rRNA, and mitochondrial DNA genetic markers as alternative indicators of sewer cross connections","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; GDG Environnement; Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Polytechnique Montréal","keywords":"Fecal coliform; Sewage; Wastewater; Escherichia coli; Indicator bacteria; Feces; Stormwater; Sanitary sewer; Biology; Microbiology; Ecology; Environmental science; Environmental engineering; Water quality; Surface runoff; Biochemistry","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":[0.0005042607,0.0004460916,0.0003350149,0.0008069529,0.0003507113,0.0006661482,0.0001791559,0.0004797765,0.0003776314],"category_scores_gemma":[0.0007568255,0.0002221161,0.0002403911,0.0006623397,0.0003616532,0.0003540169,0.0003268331,0.0001905897,0.0001408945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697769,"about_ca_system_score_gemma":0.0003747352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003909016,"about_ca_topic_score_gemma":0.007032326,"domain_scores_codex":[0.9995373,0.0001233631,0.00003304553,0.0001021848,0.0001426851,0.00006154283],"domain_scores_gemma":[0.9996026,0.00006953584,0.0001393449,0.00001877236,0.0001113405,0.00005847474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001620026,0.000291615,0.5329113,0.0001106208,0.0000818363,0.0001180243,0.0005778747,0.0003268135,0.4520465,0.00005154779,0.00005302032,0.01181076],"study_design_scores_gemma":[0.00002592361,0.003239507,0.8201882,0.00002790703,0.0001815158,0.0004220241,0.001470801,0.002441395,0.1710761,0.000103135,0.0008073729,0.00001607737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992945,0.0000543023,0.0003946062,0.000005659406,0.000001586763,0.000008247048,0.00007484611,0.000003862458,0.0001623867],"genre_scores_gemma":[0.9979518,0.0001292972,0.001225334,0.00001045393,0.000002215972,0.00001212557,0.0001925445,0.000003286885,0.0004730357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003909016,"threshold_uncertainty_score":0.007772565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804179301570487,"score_gpt":0.2773467549386293,"score_spread":0.2593049619229244,"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."}}