{"id":"W2022351721","doi":"10.1007/s11356-013-1498-z","title":"Treatment of 2,4-D, mecoprop, and dicamba using membrane bioreactor technology","year":2013,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Hertfordshire; Acadia University","keywords":"Mecoprop; Dicamba; Effluent; Membrane bioreactor; Chemical oxygen demand; Chemistry; Wastewater; Environmental chemistry; Pesticide; Bioreactor; Sewage treatment; Chromatography; Biochemical oxygen demand; Pulp and paper industry; Environmental engineering; Environmental science; MCPA; Agronomy; Organic chemistry; Weed control; Biology","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":[0.0001833928,0.0003299256,0.0003596535,0.0002128332,0.0003287362,0.0004189165,0.0002837416,0.0005862477,0.0005279326],"category_scores_gemma":[0.0001764143,0.0001573024,0.0005067316,0.0001661208,0.0001322043,0.0002626727,0.0002302761,0.0004373655,0.000247705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004543146,"about_ca_system_score_gemma":0.0004317941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637087,"about_ca_topic_score_gemma":0.004100714,"domain_scores_codex":[0.9998277,0.00002196217,0.00002027224,0.00002937114,0.00004410367,0.0000565551],"domain_scores_gemma":[0.9999386,0.00001076448,0.00001426818,0.000006041135,0.00001995818,0.00001040683],"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":[0.00004367377,0.00000540465,0.00006433811,0.00002539287,0.000003147268,0.00001838283,0.000006839653,0.00005343831,0.999148,0.00001160256,0.00001518946,0.000604568],"study_design_scores_gemma":[0.000003562342,0.00006501033,0.0005920535,0.000002923871,0.000008671914,0.00002441021,0.00001770029,0.0003041308,0.998328,0.00001069121,0.0006391263,0.000003664265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934651,0.001345548,0.003384639,0.000175714,0.00004611651,0.00002626504,0.0002608152,0.00005473265,0.00124118],"genre_scores_gemma":[0.9904159,0.001038864,0.005919062,0.00006469513,0.00001363683,0.00003069728,0.0003711568,0.00001144108,0.00213442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003637087,"threshold_uncertainty_score":0.007231832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05916552138780615,"score_gpt":0.35366784509517,"score_spread":0.2945023237073638,"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."}}