{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666251,0.000162667,0.0003311914,0.00003584132,0.00003358746,0.000006294139,0.000146593,0.00006960129,0.0002413911],"category_scores_gemma":[0.00003144901,0.0001105707,0.00006602381,0.00007903372,0.0005302183,0.0002118842,0.00009635174,0.0001535676,0.00002357309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009506021,"about_ca_system_score_gemma":0.00001033684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172597,"about_ca_topic_score_gemma":6.688886e-7,"domain_scores_codex":[0.9987067,0.00006789733,0.0004425455,0.0001130945,0.0003399562,0.0003298269],"domain_scores_gemma":[0.999235,0.00005126619,0.0002613534,0.0001361999,0.000006638604,0.0003094954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001457026,0.001730616,0.02168806,0.0000659207,0.0001171614,0.00004716581,0.001047662,0.0003417597,0.9707434,0.00000906501,0.0002332351,0.00383022],"study_design_scores_gemma":[0.001027609,0.0006872269,0.008243131,0.00006154863,0.0001681378,0.0009283119,0.0001169117,0.0005200803,0.9847531,0.0000381644,0.003317513,0.0001382159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978517,0.00107149,0.000005920651,0.0003286481,0.000161063,0.0001027847,0.00002505902,0.000003003495,0.0004503727],"genre_scores_gemma":[0.9982283,0.0009690897,0.0004698168,0.00006740917,0.00007465386,8.768361e-8,0.000002105588,0.00001315582,0.0001754474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01400971,"threshold_uncertainty_score":0.4508942,"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."}}