{"id":"W2558061214","doi":"10.1007/s10311-016-0598-7","title":"Unwanted metals and hydrophobic contaminants in bioreactor effluents are associated with the presence of humic substances","year":2016,"lang":"en","type":"article","venue":"Environmental Chemistry Letters","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Leachate; Effluent; Chemistry; Environmental chemistry; Bioreactor; Arsenic; Membrane bioreactor; Contamination; Hydraulic retention time; Humic acid; Chromium; Organic matter; Environmental engineering; Organic chemistry; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001005751,0.0001811507,0.0002106473,0.00001910923,0.0000239619,0.000008522548,0.0001448459,0.00005585738,0.00009711827],"category_scores_gemma":[0.00001671005,0.000111014,0.00002334248,0.00005545396,0.0003247476,0.0001237815,0.00003555041,0.0000615246,0.000006925608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863224,"about_ca_system_score_gemma":0.000001860966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000206545,"about_ca_topic_score_gemma":0.00000390737,"domain_scores_codex":[0.9991133,0.00003045497,0.0002208552,0.0001953874,0.0002302755,0.0002097528],"domain_scores_gemma":[0.9995118,0.0001316159,0.0001308185,0.0001787934,9.122152e-7,0.00004606379],"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":[0.00001461756,0.00002257453,0.1040148,0.0000204468,0.00003629548,0.0000090578,0.00008628923,0.00006389523,0.8956583,3.171649e-8,0.00002525318,0.00004848228],"study_design_scores_gemma":[0.0006376572,0.000006213257,0.3021431,0.000104707,0.00001265697,0.000002516454,0.00007822954,0.00002058056,0.6968514,6.096472e-7,0.00002949453,0.0001128411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992554,0.0002461535,0.00001454027,0.0001353007,0.00003309229,0.0001687313,0.0001036667,0.00002522407,0.00001785133],"genre_scores_gemma":[0.9996784,0.0001588342,0.00001116733,0.00003658191,0.00001220687,0.00002816961,0.00001385395,0.00002654355,0.00003420099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1988069,"threshold_uncertainty_score":0.4527021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003794776357493571,"score_gpt":0.1594727265364695,"score_spread":0.155677950178976,"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."}}