{"id":"W2056913884","doi":"10.1016/j.chemosphere.2012.03.016","title":"Evaluating pharmaceuticals and caffeine as indicators of fecal contamination in drinking water sources of the Greater Montreal region","year":2012,"lang":"en","type":"article","venue":"Chemosphere","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Svenska Forskningsrådet Formas; Polytechnique Montréal; U.S. Environmental Protection Agency","keywords":"Naproxen; Environmental chemistry; Atrazine; Contamination; Environmental impact of pharmaceuticals and personal care products; Simazine; Wastewater; Chemistry; Sewage; Carbamazepine; Triclosan; Sewage treatment; Persistence (discontinuity); Environmental science; Environmental engineering; Pesticide; Ecology; Biology","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":[0.0005015561,0.0004654522,0.0002023479,0.001280225,0.001306543,0.001183198,0.000654467,0.0004776075,0.0007958258],"category_scores_gemma":[0.0008570497,0.0002346981,0.0003417782,0.001531384,0.0005613407,0.0003301411,0.0005451135,0.0003369727,0.0001307949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007818711,"about_ca_system_score_gemma":0.005618477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9293122,"about_ca_topic_score_gemma":0.961789,"domain_scores_codex":[0.9993591,0.0001075396,0.00002189836,0.0001138132,0.000271144,0.000126475],"domain_scores_gemma":[0.9995075,0.00004732554,0.0001037578,0.00001151108,0.0002566892,0.00007323327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004694082,0.0001979937,0.9102794,0.0001041014,0.0002369828,0.0002767185,0.00145052,0.002069667,0.06719152,0.0002165327,0.0005403623,0.0169667],"study_design_scores_gemma":[0.00001655017,0.0002712638,0.9851012,0.00001076269,0.00008481742,0.00005566415,0.001026821,0.001944121,0.009708196,0.00002297432,0.001737084,0.0000205312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968272,0.0001457933,0.0004321304,0.00006729872,0.000003675824,0.00008884058,0.000672626,0.00001744314,0.001744971],"genre_scores_gemma":[0.996353,0.0001400605,0.001393998,0.00005321468,0.000004763376,0.00003326607,0.0004730244,0.000007054807,0.001541533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07068777,"threshold_uncertainty_score":0.1422081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428202789510043,"score_gpt":0.3149762281214812,"score_spread":0.2806942002263808,"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."}}