{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003880219,0.0003080677,0.0003959613,0.0001444826,0.0002313957,0.0005912033,0.0002610875,0.00039588,0.0009672131],"category_scores_gemma":[0.0005532151,0.0002338841,0.0003233579,0.0002410254,0.0002511296,0.0003709612,0.0002022563,0.0004562876,0.0003281153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000491791,"about_ca_system_score_gemma":0.0004681312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003657759,"about_ca_topic_score_gemma":0.002943342,"domain_scores_codex":[0.9996772,0.00008631375,0.00002163215,0.00008037305,0.00006583157,0.00006873307],"domain_scores_gemma":[0.9997247,0.0001234799,0.00004354908,0.00002280974,0.00006460625,0.0000209626],"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":[0.0004096318,0.00004738692,0.0006890698,0.0000327726,0.00001234358,0.00003048948,0.00005741479,0.0003871099,0.996292,0.00004234842,0.00004024734,0.001959248],"study_design_scores_gemma":[0.000005187738,0.0003409159,0.001339899,0.000002747708,0.00001008713,0.00003554763,0.00006225864,0.001563748,0.9963698,0.00003029259,0.0002322599,0.00000726869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964718,0.0003693087,0.002337389,0.0000588875,0.0000151548,0.00001202629,0.0002038848,0.00002816089,0.0005034206],"genre_scores_gemma":[0.9964192,0.0003357162,0.001171045,0.00002849941,0.000006198904,0.00001287974,0.0001617638,0.00002179822,0.001842905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003657759,"threshold_uncertainty_score":0.007272959,"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."}}