{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002517101,0.0005396056,0.0005661761,0.0003964227,0.0002480456,0.0003970473,0.0003690105,0.0005212983,0.00046555],"category_scores_gemma":[0.0002453217,0.0002630617,0.0004688994,0.000385013,0.0002719134,0.0005798446,0.0005564836,0.000417235,0.0001736878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306018,"about_ca_system_score_gemma":0.0002941234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783159,"about_ca_topic_score_gemma":0.005182242,"domain_scores_codex":[0.9995857,0.00004505278,0.00002518306,0.0001081856,0.0001835507,0.00005245839],"domain_scores_gemma":[0.999917,0.00001501361,0.00002214336,0.000008493029,0.00002915896,0.000008030202],"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":[0.00003204536,0.00001356876,0.0002290779,0.00009538746,0.00001209733,0.0000401393,0.00001323432,0.0000814009,0.9955308,0.00003178692,0.00002235649,0.003898102],"study_design_scores_gemma":[0.000004144123,0.00009195547,0.0007201856,0.0000027166,0.0000127203,0.00006467,0.000009236842,0.0006106825,0.9979522,0.00001249997,0.0005153907,0.000003540466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571447,0.005701209,0.03406483,0.000136271,0.00008626324,0.0001074404,0.0000746576,0.0001354043,0.002549262],"genre_scores_gemma":[0.9696754,0.002404621,0.02397228,0.00009885401,0.00001997543,0.0000493511,0.0001057878,0.00002967162,0.003644031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001783159,"threshold_uncertainty_score":0.003545523,"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."}}