{"id":"W2580809651","doi":"10.1016/j.chemosphere.2017.01.101","title":"The fate of pharmaceuticals and personal care products (PPCPs), endocrine disrupting contaminants (EDCs), metabolites and illicit drugs in a WWTW and environmental waters","year":2017,"lang":"en","type":"article","venue":"Chemosphere","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":733,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council; National Research Foundation; Rand Water; University of Bath","keywords":"Environmental impact of pharmaceuticals and personal care products; Environmental chemistry; Effluent; Contamination; Wastewater; Pollutant; Chemistry; Naproxen; Sewage treatment; Nonylphenol; Triclosan; Environmental science; Environmental engineering; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000187292,0.0002172896,0.0002461821,0.000005298254,0.0004014407,0.00009110187,0.00018072,0.00004251146,0.0001025707],"category_scores_gemma":[0.00006274682,0.000147917,0.0000267198,0.00002838839,0.001659231,0.0002983974,0.00062839,0.0001676623,0.000008739202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005422761,"about_ca_system_score_gemma":0.000003756174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473136,"about_ca_topic_score_gemma":0.00001678645,"domain_scores_codex":[0.9986895,0.00003901115,0.0002246428,0.0004118197,0.000220248,0.0004148141],"domain_scores_gemma":[0.9993976,0.00007588928,0.0001157758,0.0002096493,0.000001942378,0.0001990983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006158176,0.00007281744,0.6093088,0.00009979012,0.00002301617,0.000015903,0.003260579,0.000001300494,0.299579,0.00001221341,0.00001705786,0.08754793],"study_design_scores_gemma":[0.001387619,0.00004777394,0.6428404,0.00005906555,0.00005444144,0.00003656004,0.004450613,0.0006060044,0.3470233,0.00005024548,0.003194233,0.0002497288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946272,0.003520658,6.213531e-7,0.0007639284,0.00003835846,0.000282399,0.00003351117,0.000006877985,0.0007264856],"genre_scores_gemma":[0.9962907,0.003046688,0.0001783284,0.0001037849,0.00002115656,0.000005076427,0.000004879104,0.00001541489,0.0003339028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0872982,"threshold_uncertainty_score":0.6113506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474235890967285,"score_gpt":0.2776964210901522,"score_spread":0.2629540621804794,"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."}}