{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000276574,0.0006504237,0.0005636147,0.0002804965,0.0004318251,0.0004975736,0.0007754168,0.001120045,0.003205637],"category_scores_gemma":[0.0004266971,0.0003646356,0.0006309469,0.0002233923,0.0003088182,0.0003578332,0.000277222,0.0004651929,0.0002832469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000614291,"about_ca_system_score_gemma":0.0009029162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944722,"about_ca_topic_score_gemma":0.01196761,"domain_scores_codex":[0.9999267,0.00001297735,0.000005193428,0.0000172432,0.00002314496,0.00001467775],"domain_scores_gemma":[0.9997393,0.0001444727,0.00002522987,0.00001521819,0.00006305143,0.00001261205],"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":[0.00007483176,0.00005340599,0.0007205964,0.0000635801,0.00001041845,0.00005983202,0.00003325485,0.9910102,0.005077427,0.00052827,0.0001219672,0.002246231],"study_design_scores_gemma":[0.00001458201,0.00003861304,0.0002471083,0.000003391856,0.000005065997,0.000005981129,0.0000079064,0.9970244,0.002350694,0.00009575147,0.0002029318,0.00000362335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519575,0.0004021204,0.1275122,0.0002941775,0.00008172826,0.0002839053,0.00183842,0.001214057,0.01641589],"genre_scores_gemma":[0.9765956,0.0002300101,0.0166584,0.00002423637,0.000004804015,0.0003168092,0.0003521238,0.00003806754,0.00577996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01944722,"threshold_uncertainty_score":0.03866804,"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."}}