{"id":"W3096849211","doi":"10.1016/j.jenvman.2020.111404","title":"Simultaneous quantification of five pharmaceuticals and personal care products in biosolids and their fate in thermo-alkaline treatment","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Triclocarban; Biosolids; Environmental impact of pharmaceuticals and personal care products; Triclosan; Environmental chemistry; Chemistry; Naproxen; Ecotoxicity; Ofloxacin; Water treatment; Sorption; Solid phase extraction; Sewage treatment; Pulp and paper industry; Chromatography; Extraction (chemistry); Environmental science; Ciprofloxacin; Environmental engineering; Adsorption; Toxicity; Antibiotics","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":[0.0002626953,0.0003648874,0.0002532648,0.0003101252,0.0003105557,0.0004271745,0.0002227746,0.0005991549,0.0007714325],"category_scores_gemma":[0.0002877489,0.0001851654,0.0003596262,0.0002973208,0.0003178731,0.0002949346,0.000281547,0.0003974339,0.0002663349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921851,"about_ca_system_score_gemma":0.0004181391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858759,"about_ca_topic_score_gemma":0.003576999,"domain_scores_codex":[0.9995872,0.00004450815,0.0000191247,0.00008210484,0.0002045404,0.00006245058],"domain_scores_gemma":[0.9998589,0.00003008187,0.00002958831,0.000009230734,0.00005845287,0.00001385921],"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":[0.0001484751,0.00001004525,0.0006423117,0.00003048597,0.000009687824,0.00002077725,0.0000361613,0.0001252694,0.9970716,0.00003338309,0.00001525577,0.001856391],"study_design_scores_gemma":[0.00000212775,0.00008146117,0.002835979,0.000003186181,0.00001344352,0.00003166149,0.00003979744,0.0007865682,0.9957237,0.00001624995,0.000460614,0.000005223386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929916,0.0007192646,0.00484199,0.00003621287,0.00001917983,0.00002372575,0.0002854114,0.00003447806,0.001048165],"genre_scores_gemma":[0.992322,0.0005312445,0.004342362,0.00003821996,0.000005733068,0.00003152195,0.0002464812,0.00001063205,0.002471844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001858759,"threshold_uncertainty_score":0.003695905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957752067431922,"score_gpt":0.2764570850801837,"score_spread":0.2468795644058644,"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."}}