{"id":"W2913502019","doi":"10.1111/wej.12456","title":"Synergistic effect between ultraviolet irradiation and electrochemical oxidation for removal of humic acids and pharmaceuticals","year":2019,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Chlorine; Electrolyte; Electrochemistry; Degradation (telecommunications); Humic acid; Anode; Ultraviolet; Radical; Inorganic chemistry; Advanced oxidation process; Irradiation; Nuclear chemistry; Electrode; Catalysis; Organic chemistry","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":[0.0002908269,0.0004625068,0.0004973756,0.0002949363,0.0001255496,0.0003036831,0.0002135528,0.0003791271,0.0006536174],"category_scores_gemma":[0.0002527702,0.0002500875,0.0005317978,0.0001685762,0.0001979819,0.0001970277,0.000348901,0.0002952807,0.0001319831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407395,"about_ca_system_score_gemma":0.0001487376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002619634,"about_ca_topic_score_gemma":0.0006311607,"domain_scores_codex":[0.9997364,0.00006759987,0.00001980513,0.00004702797,0.00008584681,0.00004339979],"domain_scores_gemma":[0.9998647,0.00005023579,0.00002957136,0.000009312924,0.00003108299,0.00001506664],"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":[0.0001150325,0.00002524942,0.0001769016,0.0001440456,0.00002404847,0.00003556655,0.00001195306,0.0001025084,0.9959842,0.00001559121,0.0000266478,0.003338232],"study_design_scores_gemma":[0.00001375865,0.0004349386,0.001463756,0.00001289247,0.00006107186,0.0001390346,0.00002192261,0.0005751257,0.9962832,0.00001705578,0.0009711117,0.00000606847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984815,0.008585203,0.004466124,0.0001005586,0.00008358405,0.00004472588,0.00006411833,0.00006078034,0.001779893],"genre_scores_gemma":[0.9903613,0.002804528,0.005450305,0.00006920682,0.00003568994,0.0000279608,0.00004465184,0.000009158553,0.001197089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006536174,"threshold_uncertainty_score":0.002186596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006820724046128454,"score_gpt":0.2386879700874538,"score_spread":0.2318672460413254,"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."}}