{"id":"W2341959562","doi":"10.1016/j.jenvman.2017.04.011","title":"Adsorption of organic stormwater pollutants onto activated carbon from sewage sludge","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Svenska Forskningsrådet Formas","keywords":"Adsorption; Chemistry; Pollutant; Environmental chemistry; Activated carbon; Sewage sludge; Sewage; Environmental engineering; Environmental science; Organic chemistry","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":[0.000204551,0.0004099819,0.0003826624,0.0005093827,0.0004438021,0.0004839042,0.000205268,0.0004600872,0.001285293],"category_scores_gemma":[0.0002640256,0.0001823953,0.0003697903,0.0003104604,0.0002298961,0.0002393411,0.0002660501,0.000285278,0.0003415439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641831,"about_ca_system_score_gemma":0.0004469261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749154,"about_ca_topic_score_gemma":0.006433964,"domain_scores_codex":[0.9997795,0.00002404826,0.00001704263,0.00002518223,0.00009111284,0.00006319171],"domain_scores_gemma":[0.999891,0.00003075318,0.00001311326,0.000006707667,0.00003808783,0.00002017545],"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":[0.0002280277,0.0000474579,0.000565992,0.00008528544,0.00001362046,0.00006416989,0.00004016699,0.0005753102,0.9950742,0.00007175894,0.00006611335,0.003167976],"study_design_scores_gemma":[0.00001544199,0.0002320149,0.003784355,0.000006514128,0.00001357006,0.00003435601,0.00009084032,0.002384931,0.9925669,0.00004816278,0.0008148176,0.000008049807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982682,0.0001554724,0.0005330632,0.00003556679,0.00001786614,0.0000105241,0.00005849607,0.00001105868,0.0009096241],"genre_scores_gemma":[0.9959013,0.0002696421,0.0006544656,0.00002197826,0.00001308073,0.000007183396,0.0001257528,0.000007645212,0.002999048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003749154,"threshold_uncertainty_score":0.007454693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009124933077441742,"score_gpt":0.2112420337389942,"score_spread":0.2021171006615524,"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."}}