{"id":"W1988511511","doi":"10.1016/s0098-1354(00)00562-7","title":"A new approach to simulation of distillation in packed columns","year":2000,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Packed bed; Distillation; Process engineering; Fractionating column; Chromatography; Computer science; Materials science; Chemistry; Environmental science; Engineering","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":[0.00002947494,0.00009354971,0.000127911,0.00008678756,0.00000493259,0.00001480649,0.00007789821,0.00005737633,0.0000416072],"category_scores_gemma":[0.00002169926,0.000109884,0.00002501179,0.0003367151,0.000003504929,0.000103207,0.000007715631,0.00007465798,0.000009444581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006684668,"about_ca_system_score_gemma":0.000006685568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005168346,"about_ca_topic_score_gemma":2.616245e-7,"domain_scores_codex":[0.9994819,0.000002440215,0.0002041851,0.0001136612,0.00008295602,0.0001148876],"domain_scores_gemma":[0.9997831,0.00002800318,0.00001007505,0.00008879734,0.00001749528,0.00007254315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000497995,0.000008944119,0.00001370497,0.00003562763,0.000004050813,9.937023e-8,0.0002394849,0.9782,0.006531131,0.00009556067,0.0001881138,0.01467826],"study_design_scores_gemma":[0.0001993159,0.00000443974,0.0001853819,0.00004284591,0.000002238588,5.344019e-7,0.000002571645,0.9926736,0.006122435,0.00001514217,0.0006437079,0.0001077847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09335095,0.00002091771,0.9046332,0.000009938904,0.00005653889,0.0001101409,0.000001292667,0.0001658745,0.001651089],"genre_scores_gemma":[0.940214,0.000003496552,0.05964579,0.00001373155,0.00004581576,0.000005442386,0.00002753256,0.0000166455,0.00002757081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.846863,"threshold_uncertainty_score":0.448094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006916355754686705,"score_gpt":0.1963619891607023,"score_spread":0.1894456334060156,"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."}}