{"id":"W2792400561","doi":"10.1002/cjce.23181","title":"Startup of divided wall column for high purity separation of aromatic reformate","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Ethylbenzene; Toluene; Catalytic reforming; Benzene; Xylene; Fractional distillation; Distillation; Chemistry; Chromatography; Fractionating column; Column (typography); Process engineering; Waste management; Chemical engineering; Organic chemistry; Catalysis; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003138171,0.0005393023,0.0006639985,0.0005872407,0.0005302787,0.0005684106,0.0005122684,0.0004235356,0.002644835],"category_scores_gemma":[0.0004734922,0.0002502898,0.0003860318,0.000389793,0.0003424803,0.0004245403,0.0003814411,0.0008385226,0.0008907413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988194,"about_ca_system_score_gemma":0.0005168673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421783,"about_ca_topic_score_gemma":0.002440029,"domain_scores_codex":[0.9996555,0.00004439329,0.00001886537,0.00006645601,0.0001323899,0.0000824227],"domain_scores_gemma":[0.9996527,0.0000987571,0.0000672794,0.00004995787,0.00007573117,0.00005551374],"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":[0.0003135816,0.0001171483,0.0005892813,0.0001062992,0.0000117967,0.0001345736,0.00003771445,0.0004294016,0.9926312,0.0001178004,0.0001644131,0.005346775],"study_design_scores_gemma":[0.00001880746,0.0004809218,0.002537278,0.000007204621,0.00001086842,0.00004619313,0.00002118758,0.002096582,0.9935181,0.00002481103,0.001223019,0.00001503167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770672,0.0004694347,0.01942612,0.00006791001,0.00004494969,0.0002472968,0.0004077909,0.0008265317,0.001442643],"genre_scores_gemma":[0.9752566,0.0003012594,0.02127268,0.00005410496,0.00001774526,0.0001166378,0.0005330305,0.0001071917,0.002340826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002644835,"threshold_uncertainty_score":0.008847833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007958606579639226,"score_gpt":0.2042214973833386,"score_spread":0.1962628908036993,"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."}}