{"id":"W4391568909","doi":"10.1016/j.cej.2024.149323","title":"Decomplexation of copper complexes from synthetic and real electroplating wastewater by alkaline-thermal synergistic activation of persulfate and stabilization of generated sludge by Fe3O4 coating","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Collaborative Innovation Center for Water Treatment Technology and Materials","keywords":"Persulfate; Electroplating; Copper; Chemistry; Chemical engineering; Coating; Wastewater; Thermal; Materials science; Metallurgy; Waste management; Organic chemistry; Catalysis; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001962496,0.0003078613,0.0002197425,0.0002003845,0.000125074,0.0002265696,0.0002471259,0.0003160519,0.0010127],"category_scores_gemma":[0.0002851018,0.000175842,0.0002919832,0.0001324368,0.0001870668,0.0001857181,0.000190393,0.0003142848,0.0001810921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897207,"about_ca_system_score_gemma":0.0001917695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004681922,"about_ca_topic_score_gemma":0.0007249967,"domain_scores_codex":[0.9998443,0.0000229035,0.0000156584,0.00003477995,0.00003981629,0.00004258932],"domain_scores_gemma":[0.9999253,0.00001729805,0.00001694437,0.000009746565,0.00001912136,0.0000117018],"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":[0.0001623498,0.00001306436,0.0001072142,0.0000362145,0.000005996547,0.0000359869,0.00002598489,0.0001604469,0.997978,0.00006104782,0.0000369936,0.001376656],"study_design_scores_gemma":[0.000007118756,0.00007430679,0.0003829441,0.000001467092,0.000005386176,0.00002455073,0.00001071891,0.0007363923,0.9984505,0.0000195315,0.0002849167,0.000002200204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970362,0.0002156718,0.00183164,0.00003373481,0.0000181399,0.00001131355,0.00004100253,0.00004081328,0.0007713588],"genre_scores_gemma":[0.9979562,0.0000907873,0.0007638244,0.00001200835,0.000004180093,0.000007709336,0.00006988002,0.00001022513,0.001085259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010127,"threshold_uncertainty_score":0.003387868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006241325252935315,"score_gpt":0.2067624440262702,"score_spread":0.2005211187733349,"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."}}