{"id":"W6983515392","doi":"","title":"Modelado y simulación de una columna de destilación por lotes para recuperar epóxido de limoneno","year":2012,"lang":"en","type":"article","venue":"EIA University Library (EIA University)","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foreign Affairs and International Trade Canada; Universidad de Antioquia; University of Waterloo; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Limonene; Distillation; Reactive distillation; Acetonitrile; Batch distillation; Fraction (chemistry); Process simulation; MATLAB; Mole fraction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000279511,0.0003027442,0.0002944405,0.0005648587,0.0005838979,0.00005870245,0.001149267,0.0004124936,0.001306194],"category_scores_gemma":[0.00002404953,0.000421603,0.0001964538,0.0009108295,0.000234617,0.002192381,0.0005347588,0.0005610814,0.0003607244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005411746,"about_ca_system_score_gemma":0.0003813786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007524908,"about_ca_topic_score_gemma":0.00002899883,"domain_scores_codex":[0.99737,0.0008417002,0.0001641166,0.0003961928,0.0001695895,0.001058374],"domain_scores_gemma":[0.9980006,0.0002832941,0.0001305489,0.000843014,0.00003975534,0.0007027606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00203736,0.001848094,0.7993141,0.00008042893,0.0005151081,0.000996173,0.01574122,0.001036075,0.001589188,0.1452489,0.0285641,0.003029286],"study_design_scores_gemma":[0.004126054,0.0004982575,0.2821559,0.0001708297,0.0004260683,0.0001025493,0.01077867,0.003788919,0.00109288,0.001458132,0.6940363,0.001365427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716802,0.0002134582,0.003497342,0.001397045,0.0001202039,0.0002789432,0.00003502522,0.0005524589,0.1222253],"genre_scores_gemma":[0.937834,0.0002282654,0.00601661,0.0004126316,0.0001171008,3.88018e-7,0.00006565626,0.00004282127,0.05528253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6654722,"threshold_uncertainty_score":0.9998236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737140391894947,"score_gpt":0.2504819838699793,"score_spread":0.2231105799510298,"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."}}