{"id":"W2330361633","doi":"10.2166/wst.2014.145","title":"Removal of pharmaceuticals and personal care products in a membrane bioreactor wastewater treatment plant","year":2014,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Health Canada","keywords":"Chemistry; Paraxanthine; Triclosan; Naproxen; Pharmacology; Triclocarban; Environmental impact of pharmaceuticals and personal care products; Chromatography; Wastewater; Medicine; Biochemistry; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002505026,0.0001643508,0.0002105004,0.0002034945,0.00008712961,0.000016104,0.0002806347,0.00007604774,0.0001500141],"category_scores_gemma":[0.00002873495,0.0000977466,0.00002050454,0.0004181118,0.002591584,0.0002013909,0.0003707974,0.0001081467,0.000086147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921743,"about_ca_system_score_gemma":0.0000114687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000725992,"about_ca_topic_score_gemma":0.00001338472,"domain_scores_codex":[0.9984383,0.00002620084,0.0001945032,0.0005123848,0.0002634698,0.0005651543],"domain_scores_gemma":[0.9996051,0.00001173175,0.00003229348,0.000208661,0.00000431133,0.0001378648],"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":[0.00001868129,0.0001120523,0.01677851,0.00001542068,0.000002065482,0.00003786005,0.001169723,0.000009664075,0.972569,0.00005498247,0.000001885783,0.009230109],"study_design_scores_gemma":[0.000533799,0.0002537376,0.003184275,0.00001636813,0.00001074529,0.0002318195,0.0002330493,0.0009144777,0.9874502,0.0001154347,0.006915046,0.0001410927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964539,0.00006979271,0.000004006682,0.001966095,0.0000601026,0.0002061007,0.000007803251,0.00003378569,0.001198449],"genre_scores_gemma":[0.999009,0.00005252455,0.0007278461,0.00009452331,0.00001090712,0.000004854053,0.000002905448,0.000007138021,0.00009027655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0148811,"threshold_uncertainty_score":0.9548798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044004899222262,"score_gpt":0.264219708958165,"score_spread":0.2437796599659424,"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."}}