{"id":"W2903486492","doi":"10.1002/cjce.23418","title":"Selective separation of copper and nickel ions from aqueous solutions containing calcium by emulsion liquid membranes using central composite design","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nickel; Copper; Aqueous solution; Stripping (fiber); Calcium; Extraction (chemistry); Emulsion; Chemistry; Materials science; Inorganic chemistry; Chromatography; Metallurgy; Composite material; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001069234,0.0001070315,0.0001638618,0.00008289644,0.0001124451,0.00003369749,0.00008144061,0.00007996144,0.00001958276],"category_scores_gemma":[0.00005916375,0.00009611763,0.00003628672,0.0001309452,0.00006825919,0.0001973922,0.000005212062,0.0002212692,9.749486e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138513,"about_ca_system_score_gemma":0.0001055727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007861572,"about_ca_topic_score_gemma":0.0001663394,"domain_scores_codex":[0.9993113,0.00001956841,0.0002762405,0.00005736778,0.00009727199,0.0002383114],"domain_scores_gemma":[0.9993626,0.000117259,0.00007144686,0.00005556919,0.0001400534,0.0002530883],"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":[0.0000265866,0.000003757174,0.00002716198,0.00001327851,0.00005152953,0.000001015364,0.0008450545,0.07901005,0.9195736,0.0000510324,0.0003588132,0.0000381264],"study_design_scores_gemma":[0.0001879029,0.00004446811,0.00004008712,0.0000681595,0.0000473454,0.00006397856,0.00005927766,0.2431271,0.7559032,0.00002800636,0.0003228168,0.0001076572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211666,0.002137817,0.07608521,0.0001181712,0.000263439,0.00007344636,0.00002114376,0.00002373251,0.0001104652],"genre_scores_gemma":[0.9984488,0.00001251047,0.001307321,0.00002603788,0.0001769927,0.000001097217,0.000005439148,0.00001735232,0.000004403071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641171,"threshold_uncertainty_score":0.3919563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373879595244777,"score_gpt":0.2458632569510005,"score_spread":0.2221244609985527,"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."}}