{"id":"W3021993561","doi":"10.1016/b978-0-12-819722-6.00013-4","title":"Treatment of wastewater containing pharmaceuticals: biological treatment","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Effluent; Sewage treatment; Wastewater; Biochemical engineering; Activated sludge; Waste management; Environmental science; Environmental planning; Biotechnology; Environmental engineering; Engineering; Biology","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":[0.0001722817,0.000803129,0.0004729624,0.0007031833,0.0003121405,0.001481156,0.0006345036,0.001260615,0.0265296],"category_scores_gemma":[0.00009190341,0.0003273327,0.0004121342,0.001043867,0.0004006439,0.001291336,0.0008020569,0.0009388286,0.01484076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461456,"about_ca_system_score_gemma":0.0003756685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006988206,"about_ca_topic_score_gemma":0.001668436,"domain_scores_codex":[0.9998538,0.00001224006,0.000005791045,0.00002341295,0.00009307758,0.00001157203],"domain_scores_gemma":[0.9999615,0.00001394271,0.000003430672,0.000003214916,0.00001453342,0.000003319177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006141936,0.000235151,0.0001351462,0.002161577,0.00001599209,0.0002562681,0.0001611773,0.001347547,0.1039529,0.02224312,0.08262376,0.7868059],"study_design_scores_gemma":[0.000009100883,0.0001051856,0.0004770032,0.0003222535,0.00001300498,0.0007692761,0.0000830403,0.0007187513,0.02680967,0.005532379,0.9651458,0.00001443294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.007740314,0.2117485,0.03113443,0.001823585,0.003202304,0.0001131162,0.000280498,0.0004347659,0.7435225],"genre_scores_gemma":[0.02048563,0.1277045,0.01514295,0.001322136,0.0005850843,0.00007943434,0.0003376122,0.0001556709,0.834187],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0265296,"threshold_uncertainty_score":0.08875036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0804762873049471,"score_gpt":0.3084881552195758,"score_spread":0.2280118679146287,"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."}}