{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747523,0.00009340906,0.0001034283,0.000256067,0.0003642711,0.00001577455,0.0001110544,0.00003608306,0.0001117654],"category_scores_gemma":[0.0001616262,0.00008072534,0.00001506095,0.000761232,0.000847274,0.0003134816,0.0001925716,0.00008264318,0.00005974661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748701,"about_ca_system_score_gemma":0.000008697552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003274352,"about_ca_topic_score_gemma":0.000004187619,"domain_scores_codex":[0.9977617,0.0001625119,0.0002047868,0.0003285944,0.001252619,0.0002898383],"domain_scores_gemma":[0.9995483,0.0001343557,0.0000864161,0.0001394692,0.000009184452,0.00008223982],"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":[0.000101442,0.00007040771,0.0206059,0.00001509971,0.000003448444,0.000004803115,0.0002599899,0.002098273,0.9353337,0.00009047245,0.000005478425,0.04141102],"study_design_scores_gemma":[0.0008393705,0.001065209,0.3567817,0.00001548123,0.000004601497,0.000009048959,0.00008727552,0.009982746,0.6307966,0.0002427606,0.00009791373,0.00007738647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988989,0.0000149381,0.00002132795,0.0001300335,0.00002026617,0.000482118,0.000008037514,0.00001479542,0.0004095366],"genre_scores_gemma":[0.9993576,0.0001009096,0.0001046634,0.000006474085,0.000005951072,0.00001961753,0.00001426381,0.000006098816,0.0003843683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3361758,"threshold_uncertainty_score":0.3291884,"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."}}