{"id":"W2323164266","doi":"10.1021/ie502568h","title":"Polyethylenimine-Assisted Extraction of α-Tocopherol from Tocopherol Homologues and CO<sub>2</sub>-Triggered Fast Recovery of the Extractant","year":2014,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Zhejiang University; Ministry of Education of the People's Republic of China; State Key Laboratory of Chemical Engineering; National Natural Science Foundation of China","keywords":"Polyethylenimine; Chemistry; Tocopherol; Extraction (chemistry); Hexane; Selectivity; Acrylonitrile; Chromatography; Organic chemistry; Antioxidant; Polymer; Vitamin E","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006967933,0.0003022171,0.0005009722,0.0001476069,0.00003712652,0.00004427942,0.0005320019,0.000782697,0.00002540104],"category_scores_gemma":[0.001529299,0.0002761649,0.0001401539,0.0006048023,0.0002648877,0.0001211465,0.0001570945,0.001516399,0.000002542949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000205049,"about_ca_system_score_gemma":0.00007610799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009030268,"about_ca_topic_score_gemma":0.000006579271,"domain_scores_codex":[0.9978749,0.00007132621,0.0005881574,0.0003527732,0.0006216043,0.000491231],"domain_scores_gemma":[0.9978783,0.0009710634,0.0001300875,0.0007569747,0.0001526265,0.0001109996],"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":[0.00008002275,0.00003092816,0.0002141057,0.0001562434,0.00009856934,0.00000461296,0.00004208078,0.004308629,0.9834732,0.000006337757,0.0005607575,0.0110245],"study_design_scores_gemma":[0.0008486627,0.00005481218,0.002015377,0.0002743337,0.00002575793,0.00002068861,0.000116855,0.003702972,0.9921595,0.00005659555,0.0004979984,0.0002264557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977551,0.0004836463,0.00008572908,0.00007600752,0.0002852903,0.0005093056,0.00009779889,0.0003153497,0.0003917706],"genre_scores_gemma":[0.9992645,0.0001009262,0.00007533142,0.000001417853,0.0003360254,0.0001086106,0.00001732723,0.00006656446,0.00002930433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079805,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711263138726924,"score_gpt":0.2688242773891602,"score_spread":0.231711646001891,"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."}}