{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002241437,0.0004412306,0.0004285449,0.0001703894,0.0001345811,0.0004413152,0.000225961,0.0003559308,0.0004657584],"category_scores_gemma":[0.0001486525,0.0001981056,0.0002168897,0.0001422629,0.0002610073,0.0003545592,0.000483719,0.0002209012,0.0002952939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284902,"about_ca_system_score_gemma":0.0002686628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005362608,"about_ca_topic_score_gemma":0.0008312125,"domain_scores_codex":[0.9998618,0.00002824118,0.000009534965,0.00003285852,0.00003573463,0.00003180833],"domain_scores_gemma":[0.9999481,0.00001289352,0.00001470653,0.000003322442,0.000009652897,0.00001136569],"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":[0.00004597969,0.000006160745,0.00004816659,0.00003528379,0.000003758131,0.00003853353,0.000005673812,0.00003888812,0.9989074,0.00001906164,0.000009381176,0.00084163],"study_design_scores_gemma":[0.00000510539,0.00005111044,0.0002794086,0.00000176355,0.000008782333,0.00006838739,0.00000692533,0.0004379352,0.9987129,0.000006089561,0.0004185374,0.000002977039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906293,0.001682675,0.006180097,0.00008978706,0.00002031161,0.00003356537,0.00005252258,0.00009194864,0.001219757],"genre_scores_gemma":[0.988,0.001152155,0.008718032,0.00007690119,0.0000116824,0.00003018279,0.00007325314,0.00002816258,0.001909642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005362608,"threshold_uncertainty_score":0.002067089,"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."}}