{"id":"W2030299047","doi":"10.1016/j.scitotenv.2006.03.021","title":"Occurrence and reductions of pharmaceuticals and personal care products and estrogens by municipal wastewater treatment plants in Ontario, Canada","year":2006,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":553,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Environmental impact of pharmaceuticals and personal care products; Wastewater; Sewage treatment; Waste management; Personal care; Environmental science; Environmental health; Environmental engineering; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002575716,0.0002293488,0.0002721738,0.0009860788,0.002658414,0.0009391297,0.0006350048,0.000400949,0.00177761],"category_scores_gemma":[0.0007782206,0.0002899416,0.0004019275,0.001931107,0.0005428655,0.0002450244,0.0004186355,0.0003550974,0.0001575147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03179108,"about_ca_system_score_gemma":0.03092197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969994,"about_ca_topic_score_gemma":0.9988096,"domain_scores_codex":[0.9993016,0.00004286897,0.00003774164,0.0000691937,0.0003546612,0.0001939512],"domain_scores_gemma":[0.9988071,0.00007112851,0.0002023469,0.00001817069,0.0007511146,0.0001503199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006285877,0.0001194398,0.9580758,0.0002509891,0.000105798,0.0005520705,0.004417906,0.00138286,0.008154662,0.0005209585,0.003381307,0.02240956],"study_design_scores_gemma":[0.0000117069,0.00006123239,0.9909961,0.00001809427,0.00002405928,0.00006570792,0.003068917,0.0005968713,0.0008852417,0.00003680625,0.00422206,0.00001318188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928188,0.0005021004,0.0002090132,0.0003336242,0.000009207302,0.00004714298,0.001538567,0.00001388896,0.004527583],"genre_scores_gemma":[0.9919209,0.0004379572,0.0002839058,0.00008786171,0.000003671905,0.00001007877,0.0005360023,0.000005140384,0.006714361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179108,"threshold_uncertainty_score":0.2306615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818776018849998,"score_gpt":0.236463784648927,"score_spread":0.218276024460427,"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."}}