{"id":"W4319018303","doi":"10.3390/w15030581","title":"Simultaneous Removal of Cyanide and Heavy Metals Using Photoelectrocoagulation","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Iran National Science Foundation; National Science Foundation","keywords":"Electrocoagulation; Cyanide; Chemistry; Oxidizing agent; Hydrogen peroxide; Effluent; Zinc; Nuclear chemistry; 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":[0.00007057175,0.00006602709,0.00008198047,0.00002679906,0.00004727641,0.00000752409,0.00003449703,0.00002124786,0.0002863783],"category_scores_gemma":[0.000007673846,0.00004546816,0.00001695884,0.00008710406,0.00004624249,0.000123318,0.00006818651,0.00001996176,0.0002186546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000557753,"about_ca_system_score_gemma":0.000001136662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173358,"about_ca_topic_score_gemma":0.00001324567,"domain_scores_codex":[0.9994412,0.00001844211,0.0001156992,0.000149112,0.0001227285,0.0001528068],"domain_scores_gemma":[0.9998246,0.00002020438,0.00002476538,0.00009781076,0.000003843368,0.00002871677],"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":[0.00002013104,0.00001147166,0.001291433,0.000003584251,0.000008063745,0.00003598788,0.0004398952,0.05318244,0.9432996,0.000004844213,0.000009186576,0.001693342],"study_design_scores_gemma":[0.0001821518,0.00003357346,0.001445837,0.000003364731,0.00001402265,0.00004574018,0.00002067369,0.03335354,0.9621356,0.0009838565,0.001707487,0.00007422422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983255,0.000006130272,0.001152301,0.00006049837,0.00002072631,0.0001282105,0.000001888155,0.00003807562,0.0002666188],"genre_scores_gemma":[0.993781,0.000004446348,0.005100786,0.00002615973,0.000007447517,0.000003328938,0.00001471914,0.000009288038,0.00105282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0198289,"threshold_uncertainty_score":0.3135641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161680462037479,"score_gpt":0.2560304789557287,"score_spread":0.2398624327519808,"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."}}