{"id":"W4390079507","doi":"10.1007/s11356-023-31600-7","title":"Effect of ozonation and UV-LED combination on simultaneous removal of toxic elements during electrocoagulation","year":2023,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Iran National Science Foundation","keywords":"Electrocoagulation; Cyanide; Effluent; Wastewater; Chemistry; Anode; Cathode; Ozone; Zinc; Copper; Nickel; Electrode; Pollutant; Nuclear chemistry; Pulp and paper industry; Inorganic chemistry; Environmental engineering; Environmental science; 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":[0.0001361956,0.0003502622,0.0003323792,0.0001601627,0.0001769725,0.0003236302,0.0002673467,0.0004287725,0.001237552],"category_scores_gemma":[0.0002918135,0.0001889698,0.0003574779,0.0001792444,0.0002063959,0.0002778926,0.0001980059,0.0003642005,0.0001610377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001393291,"about_ca_system_score_gemma":0.0001947077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381417,"about_ca_topic_score_gemma":0.003127401,"domain_scores_codex":[0.9998083,0.00001883792,0.00002057338,0.00004229112,0.00004794588,0.00006211787],"domain_scores_gemma":[0.9998654,0.00003896033,0.0000264363,0.00001211769,0.00003468582,0.00002230905],"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":[0.001089925,0.00005515452,0.0002506969,0.0001286648,0.00002423521,0.00009867244,0.00003520009,0.0001718459,0.9949797,0.00003132929,0.00006855521,0.003066181],"study_design_scores_gemma":[0.00002324591,0.000469329,0.002499697,0.000005491424,0.00003852884,0.00007514787,0.00003589002,0.0008016201,0.9954547,0.00001205326,0.000576773,0.000007432229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971492,0.001084343,0.0007609497,0.00003191511,0.00005064933,0.00001311157,0.00005583405,0.00003484209,0.0008192633],"genre_scores_gemma":[0.9980462,0.0004053559,0.0005799831,0.00002778354,0.000006197318,0.000006829694,0.00004816211,0.000007073652,0.0008724743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001381417,"threshold_uncertainty_score":0.00413996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151006876319538,"score_gpt":0.3148048997642401,"score_spread":0.3032948310010447,"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."}}