{"id":"W3115554358","doi":"10.1016/j.watres.2020.116785","title":"Bioretention cells remove microplastics from urban stormwater","year":2020,"lang":"en","type":"article","venue":"Water Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":211,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto and Region Conservation Authority; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioretention; Microplastics; Stormwater; Surface runoff; Environmental science; Urban runoff; Low-impact development; Environmental engineering; Pollution; Contamination; Hydrology (agriculture); Environmental chemistry; Stormwater management; Ecology; Chemistry; 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":[0.0001395175,0.0004599066,0.0002728668,0.0002732779,0.000254542,0.0005651068,0.0001820572,0.0003674287,0.001069661],"category_scores_gemma":[0.0001072621,0.0001173158,0.0003201734,0.0002123708,0.0001661094,0.0003468871,0.0003299375,0.0003870809,0.0005072772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579801,"about_ca_system_score_gemma":0.000358994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003267791,"about_ca_topic_score_gemma":0.006190212,"domain_scores_codex":[0.9998722,0.00001118878,0.000006514595,0.00002159951,0.00003320709,0.00005515223],"domain_scores_gemma":[0.9999429,0.00001044506,0.0000109099,0.000005384816,0.00001917473,0.00001112725],"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":[0.00005081055,0.00002888011,0.0003874149,0.00001931518,0.000003124628,0.00004472224,0.00002132231,0.0001114596,0.9969053,0.000030072,0.00003793982,0.00235961],"study_design_scores_gemma":[0.000002887914,0.0001021344,0.0009711458,0.000002836636,0.000005135715,0.00002052249,0.00005916939,0.0003584538,0.9978663,0.00001087846,0.000599405,0.000001242422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964516,0.0002990742,0.001446425,0.00006511038,0.00003075579,0.00001786553,0.00007760372,0.00002709353,0.001584477],"genre_scores_gemma":[0.9921962,0.0005723361,0.001441049,0.00005152671,0.00001256803,0.000012925,0.0001656876,0.00001608555,0.005531656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003267791,"threshold_uncertainty_score":0.006497562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230209692798352,"score_gpt":0.2581051975696043,"score_spread":0.2158031006416207,"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."}}