{"id":"W4406834522","doi":"10.1016/j.seppur.2025.131817","title":"Synthesis and optimization of dividing-wall distillation columns for the separation of a quaternary mixture","year":2025,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Process Optimization and Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Quaternary; Separation (statistics); Distillation; Chromatography; Process engineering; Chemistry; Chemical engineering; Materials science; Engineering; Computer science; Geology","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":[0.0001518878,0.00009513057,0.0001475691,0.0002593822,0.0001017514,0.00002399753,0.00007624891,0.0001712367,0.00000861237],"category_scores_gemma":[0.0001670364,0.00008276205,0.00002233544,0.0003968455,0.0001019333,0.0001561141,0.000009901969,0.00005616832,3.200007e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878763,"about_ca_system_score_gemma":0.00002118748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004161343,"about_ca_topic_score_gemma":0.00001463355,"domain_scores_codex":[0.9993681,0.00001938926,0.0003396694,0.0001380169,0.00006458222,0.00007029333],"domain_scores_gemma":[0.9993334,0.0001424361,0.0001395019,0.0001517,0.0002202404,0.0000127545],"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":[0.0001492262,0.00008410213,0.004226889,0.0007197613,0.0001853495,5.083126e-8,0.0009593128,0.6961794,0.03872034,0.1752986,0.002409782,0.08106718],"study_design_scores_gemma":[0.0001990635,0.0000337522,0.0007120745,0.0000390381,0.00005326594,9.941162e-7,0.0001505269,0.9280639,0.06646416,0.001155261,0.003055176,0.00007281156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01693527,0.001348156,0.9783905,0.001755595,0.00009208353,0.0005930972,0.00002390458,0.0001302732,0.000731126],"genre_scores_gemma":[0.9922007,0.001279829,0.006021319,0.0000289243,0.000009148011,0.0002034011,0.00006462352,0.000008729124,0.0001832686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9752655,"threshold_uncertainty_score":0.3374939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856519669667233,"score_gpt":0.2602168468124962,"score_spread":0.2516516501158239,"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."}}