{"id":"W2016220637","doi":"10.4081/xeno.2012.e3","title":"Low removal of acidic and hydrophilic pharmaceutical products by various types of municipal wastewater treatment plants","year":2012,"lang":"en","type":"article","venue":"Journal of Xenobiotics","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Clofibric acid; Effluent; Chemistry; Ibuprofen; Naproxen; Wastewater; Sewage treatment; Activated sludge; Diclofenac; Aquatic environment; Environmental chemistry; Carbamazepine; Chromatography; Pharmacology; Environmental engineering; Biochemistry; Biology; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002680963,0.0003760004,0.0006088345,0.0003982905,0.0002583242,0.0006645312,0.0002255679,0.0005185305,0.0004883512],"category_scores_gemma":[0.0004485454,0.0001410909,0.0005868672,0.0005812331,0.0001698479,0.0002316586,0.0002982535,0.0003164647,0.0002170014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000427224,"about_ca_system_score_gemma":0.0003599499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004508314,"about_ca_topic_score_gemma":0.004869554,"domain_scores_codex":[0.9994351,0.00007768605,0.00006417194,0.0001040357,0.0002200602,0.00009891005],"domain_scores_gemma":[0.999815,0.00002943858,0.00005877973,0.0000117817,0.00006356398,0.00002141361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001473806,0.00004086547,0.001737109,0.0001480116,0.00002072356,0.00005480809,0.00003604886,0.0002554555,0.9924465,0.0000192933,0.00003544776,0.005058436],"study_design_scores_gemma":[0.00001658606,0.001136826,0.02982656,0.00002704107,0.00007764441,0.0002336184,0.0001528149,0.001989291,0.9646617,0.00004799326,0.001814562,0.00001543151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978666,0.0005035122,0.0008714264,0.00002341732,0.000005144986,0.00002086215,0.0001728686,0.00002809098,0.0005081787],"genre_scores_gemma":[0.9945484,0.0007377081,0.002467425,0.00003731939,0.000005111063,0.00003925522,0.0005754093,0.00001356024,0.001575814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004508314,"threshold_uncertainty_score":0.008964121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785490558417645,"score_gpt":0.2840187549784969,"score_spread":0.2561638493943204,"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."}}