{"id":"W3016856997","doi":"10.1002/cjce.23765","title":"Analysis of a hybrid distillation‐pervaporation column in a single unit: Intermediate membrane section in the rectifying and stripping section","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional de Colombia, Sede Manizales; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Pervaporation; Stripping (fiber); Distillation; Membrane; Extractive distillation; Chemistry; Fractionating column; Section (typography); Chromatography; Membrane technology; Acetone; Azeotropic distillation; Methanol; Topology (electrical circuits); Chemical engineering; Materials science; Organic chemistry; Computer science; Engineering; Permeation","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":[0.0001716892,0.0002990641,0.0004642358,0.0002667064,0.0003307996,0.0005728121,0.0004181188,0.0004077173,0.0009111354],"category_scores_gemma":[0.0001697636,0.0001799856,0.0005202296,0.0002767375,0.0002103962,0.0003755718,0.0002571351,0.0003493147,0.0002213573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006438147,"about_ca_system_score_gemma":0.0005868515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006585566,"about_ca_topic_score_gemma":0.003905506,"domain_scores_codex":[0.9998717,0.00001363548,0.000004744979,0.00003461757,0.00005445656,0.00002081578],"domain_scores_gemma":[0.9999025,0.00003860213,0.00001281456,0.00001077061,0.00002619249,0.000009018193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003578374,0.0001890761,0.006127797,0.0003593834,0.00009464248,0.0003996071,0.00006009105,0.3812814,0.5897596,0.002077517,0.0005899853,0.01870299],"study_design_scores_gemma":[0.00001139683,0.000148375,0.002190419,0.000003431502,0.00002276999,0.00003810211,0.00002447663,0.911769,0.08503415,0.0002288831,0.0005154514,0.00001350943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346758,0.0003254771,0.06250969,0.00007793087,0.0000158704,0.00003887478,0.0002601008,0.0002862427,0.001809999],"genre_scores_gemma":[0.9909402,0.0001315361,0.007655467,0.00001448689,0.000002343514,0.00002438698,0.0001562376,0.00001710448,0.001058263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006585566,"threshold_uncertainty_score":0.01309448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020652498898191,"score_gpt":0.2007494734214248,"score_spread":0.1805429484324429,"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."}}