{"id":"W3027902183","doi":"10.1016/j.envpol.2020.114852","title":"In situ kinetics of human pharmaceutical conjugates and the impact of transformation, deconjugation, and sorption on persistence in wastewater batch bioreactors","year":2020,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Manitoba","keywords":"Chemistry; Sorption; Wastewater; Bioreactor; Environmental chemistry; Biofilter; Effluent; Biotransformation; Chromatography; Metabolite; Biodegradation; Sewage treatment; Hydraulic retention time; Suspended solids; Pulp and paper industry; Environmental engineering; Organic chemistry; Biochemistry; Adsorption; Environmental science","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":[0.0001638905,0.000143417,0.0001913323,0.00003525705,0.00003290652,0.000007625425,0.00007530616,0.00005558977,0.0002742868],"category_scores_gemma":[0.00001313772,0.0001000061,0.00005119973,0.00009799186,0.0009813969,0.0002706308,0.00006562692,0.0001318942,0.00001475222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295875,"about_ca_system_score_gemma":0.00000152548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001341404,"about_ca_topic_score_gemma":0.00001250028,"domain_scores_codex":[0.9989949,0.00009912041,0.0003435499,0.0001962239,0.0001904401,0.0001757984],"domain_scores_gemma":[0.9996908,0.00004118581,0.00008688548,0.00006967041,5.527819e-7,0.0001109528],"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":[0.000211208,0.0001964443,0.0627554,0.00001591304,0.000008152019,0.000001045866,0.002283129,0.0008096186,0.9329918,0.00007838382,0.000009128205,0.0006397829],"study_design_scores_gemma":[0.002099778,0.000319281,0.5566764,0.00002122369,0.00001559998,0.000004122899,0.0004088701,0.002314529,0.4378141,0.0002124896,0.00001457127,0.00009899578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976358,0.00006470528,0.00001317726,0.001493549,0.00001025468,0.0003012391,0.00002260719,0.000003578463,0.0004550231],"genre_scores_gemma":[0.9994527,0.0002382729,0.00001761729,0.0002567227,0.000008691341,0.000002432827,0.00001079137,0.000007303128,0.000005519427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4951777,"threshold_uncertainty_score":0.407813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508019632848214,"score_gpt":0.2787529913623669,"score_spread":0.2536727950338847,"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."}}