{"id":"W4409195488","doi":"10.1016/j.cej.2025.162295","title":"Enhanced sludge dewatering via synergistic electrochemical and sulfate radical-based oxidation: Performance and mechanism","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"GDG Environnement; Institut National de la Recherche Scientifique","funders":"Science, Technology and Innovation Commission of Shenzhen Municipality","keywords":"Dewatering; Sulfate; Electrochemistry; Chemistry; Mechanism (biology); Chemical engineering; Pulp and paper industry; Organic chemistry; Electrode; Engineering; Geotechnical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009060795,0.0001691067,0.000151048,0.00004757382,0.0000919427,0.0000446293,0.0001029479,0.00007031264,0.00009106191],"category_scores_gemma":[0.00004881849,0.0001536894,0.00002523607,0.0001250518,0.00007499028,0.0001552733,0.00008757885,0.0002325797,0.000008122438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221314,"about_ca_system_score_gemma":0.000008927375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001312659,"about_ca_topic_score_gemma":9.660631e-8,"domain_scores_codex":[0.999113,0.000007851645,0.0002167565,0.0002349731,0.000150298,0.0002770707],"domain_scores_gemma":[0.9996369,0.00004566339,0.00004370005,0.0001017259,0.000008947382,0.0001630672],"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":[0.00001904348,0.00001833017,0.0001229323,0.00002659214,0.00001206059,0.000004520231,0.00002056758,0.002870798,0.9948988,0.0000423987,0.00001010053,0.001953875],"study_design_scores_gemma":[0.0005367968,0.00002398952,0.0006002883,0.00005702975,0.00002034026,0.00004875987,0.000001301026,0.04926051,0.9488627,0.0002795117,0.0001618612,0.0001469443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5623479,0.00003002969,0.43737,0.00009642918,0.00003942531,0.00004351551,2.799299e-7,0.00003199696,0.00004040475],"genre_scores_gemma":[0.9648591,0.00004111248,0.03491409,0.00006225758,0.00003143194,0.00001371808,0.000005447431,0.0000133806,0.00005941121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4025112,"threshold_uncertainty_score":0.626727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002561906086050801,"score_gpt":0.1802254130158833,"score_spread":0.1776635069298325,"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."}}