{"id":"W1975656500","doi":"10.1081/ss-120023417","title":"Separation of Cobalt from a Nickel-Hydrometallurgical Effluent Using an Emulsion Liquid Membrane","year":2003,"lang":"en","type":"article","venue":"Separation Science and Technology","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Cobalt; Nickel; Extraction (chemistry); Emulsion; Hydrometallurgy; Cobalt extraction techniques; Chloride; Membrane; Inorganic chemistry; Effluent; Aqueous solution; Aqueous two-phase system; Chromatography; Organic chemistry; Sulfuric acid; Waste management","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":[0.0003065343,0.0001206339,0.0001838238,0.0004519568,0.0001796114,0.00005104787,0.0001369097,0.0001563146,0.00009133049],"category_scores_gemma":[0.00009956487,0.0001163981,0.0000168096,0.001339588,0.000345672,0.0008683928,0.00001698441,0.000116113,0.00001752342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005126397,"about_ca_system_score_gemma":0.00008713223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001044707,"about_ca_topic_score_gemma":0.00002496117,"domain_scores_codex":[0.9988794,0.0000259111,0.0003188076,0.0002835622,0.0003085687,0.0001837351],"domain_scores_gemma":[0.999323,0.00002605224,0.00008036029,0.0002151379,0.0002775082,0.00007793805],"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":[0.00001130036,0.00004446722,0.00008918112,0.000009853888,0.000006525293,9.550265e-7,0.000149715,0.009687657,0.9765784,0.01302492,0.00002005984,0.0003769753],"study_design_scores_gemma":[0.0002935165,0.000170533,0.00008112833,0.00001137435,0.00001397304,0.00002947318,0.0002349619,0.1340831,0.8575189,0.001056048,0.006351818,0.0001551802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979769,0.000257338,0.01652912,0.00007274497,0.0001914288,0.0001382107,0.000003756553,0.0001985968,0.002839831],"genre_scores_gemma":[0.9983913,0.00008272189,0.001402027,0.00003389143,0.0000132291,0.000009940763,0.000008925673,0.000007912162,0.00005001999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1243954,"threshold_uncertainty_score":0.4746577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247443765147609,"score_gpt":0.3191707923932036,"score_spread":0.2966963547417275,"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."}}