{"id":"W2045290351","doi":"10.1002/etc.27","title":"Antidepressants and their metabolites in municipal wastewater, and downstream exposure in an urban watershed","year":2010,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":502,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Venlafaxine; Citalopram; Sertraline; Bupropion; Environmental chemistry; Wastewater; Sewage treatment; Environmental science; Chemistry; Antidepressant; Environmental engineering; Biology; Serotonin; 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":[0.00005724794,0.0001310127,0.00015603,0.0002149277,0.0005488165,0.0005027709,0.0001399048,0.0002456518,0.0004002542],"category_scores_gemma":[0.0001398083,0.0001184483,0.00009528735,0.0004933482,0.0001952405,0.0001204788,0.0001868992,0.000115577,0.00009472701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312646,"about_ca_system_score_gemma":0.0008834784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09090367,"about_ca_topic_score_gemma":0.1719457,"domain_scores_codex":[0.9998837,0.000009550162,0.000006060988,0.00004218474,0.00004118941,0.00001728009],"domain_scores_gemma":[0.9999092,0.000006635383,0.00003314368,0.00000304224,0.00003847834,0.000009530226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003434255,0.0001454559,0.6539288,0.00008925802,0.00004182359,0.0005622391,0.001318672,0.0006387107,0.3259195,0.00007238262,0.0002131908,0.01672649],"study_design_scores_gemma":[0.0000118883,0.0003442404,0.962539,0.000007564811,0.00004196924,0.0002301018,0.002101303,0.0008437697,0.03248268,0.00004990424,0.001337111,0.00001047196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996716,0.00002246522,0.00007499434,0.000006651443,3.863294e-7,0.000004661985,0.00005150099,0.000003001817,0.0001647615],"genre_scores_gemma":[0.9983601,0.0001171474,0.000404546,0.00002225094,0.000001109693,0.0000118009,0.0002334225,0.00000262202,0.0008471383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09090367,"threshold_uncertainty_score":0.1807491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00967253879341844,"score_gpt":0.234493473248138,"score_spread":0.2248209344547195,"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."}}