{"id":"W4413355066","doi":"10.1016/j.cep.2025.110504","title":"Synergistic role of Cyanex 272 saponification and acetate buffering in selective Co(II)/Ni(II) separation via Green Emulsion Liquid Membrane (GELM)","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saponification; Emulsion; Chemistry; Chemical engineering; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001748454,0.00026334,0.0003247216,0.0003296951,0.0001410347,0.00005137925,0.0001105831,0.000262666,0.000003232934],"category_scores_gemma":[0.0002152847,0.0002864761,0.00002466356,0.0006542802,0.00007097916,0.0004575049,0.0000278707,0.0003797749,0.000001015388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009656719,"about_ca_system_score_gemma":0.00003971601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002111156,"about_ca_topic_score_gemma":0.000004397156,"domain_scores_codex":[0.9986625,0.00001295823,0.0005475981,0.0003818048,0.0001656805,0.0002293994],"domain_scores_gemma":[0.9992528,0.00006762037,0.0001207969,0.0001391176,0.000346434,0.0000732184],"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":[0.00009177965,0.00004398829,0.0000611166,0.001613141,0.00002059901,3.607165e-7,0.001920276,0.01480718,0.9693053,0.0002433476,0.00001323911,0.01187968],"study_design_scores_gemma":[0.0002444976,0.0000321513,0.0003107388,0.0003172014,0.00002627459,0.000007476207,0.0001899644,0.3821056,0.616044,0.0002362998,0.0002895739,0.0001962244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616607,0.002432405,0.03375375,0.00020677,0.0000906729,0.0002661606,0.000004145038,0.0003639705,0.001221434],"genre_scores_gemma":[0.9987597,0.0002303539,0.0006474232,0.00002780159,0.00003542405,0.00009048365,0.00006744122,0.00003239783,0.0001089169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3672985,"threshold_uncertainty_score":0.9999588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007036960837220143,"score_gpt":0.2592356217893286,"score_spread":0.2521986609521084,"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."}}