{"id":"W2900517830","doi":"10.1002/cjce.23404","title":"Feeding strategies of methanol and lipase on eversa® transform‐mediated hydroesterification for FAME production","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lipase; Methanol; Biodiesel; Chemistry; Yield (engineering); Biodiesel production; Catalysis; Organic chemistry; Transesterification; Fatty acid methyl ester; Triacylglycerol lipase; Molar ratio; Food science; Enzyme; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001696282,0.0000550099,0.00007629954,0.00005023984,0.00002668929,0.00001447708,0.00006604662,0.00005188708,0.00000149286],"category_scores_gemma":[0.0002090521,0.00004233453,0.00003479137,0.00006043898,0.00005325529,0.00001007336,0.000002266789,0.00004907089,1.185358e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001820904,"about_ca_system_score_gemma":0.00009541307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002667635,"about_ca_topic_score_gemma":0.00004259976,"domain_scores_codex":[0.9996506,0.000005125941,0.0001484399,0.00006501016,0.00004661483,0.00008422903],"domain_scores_gemma":[0.9996528,0.000011937,0.00006794007,0.00006922941,0.0001283409,0.00006972059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001959027,0.000003212227,0.000006549707,0.00001835919,0.00002371383,8.683862e-8,0.0001231611,0.0006300928,0.9987216,0.00008426003,0.00006769288,0.0003016804],"study_design_scores_gemma":[0.0001435269,0.0001584362,0.00004108886,0.00003061732,0.00002203535,0.00001167376,0.00004607337,0.0009722087,0.9976141,0.00003090032,0.0008861111,0.00004322187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965665,0.0001381006,0.002802402,0.000274184,0.0001028934,0.0000775469,0.000005285925,0.000001438949,0.00003168418],"genre_scores_gemma":[0.9994711,0.000007658845,0.0002138667,0.00001520639,0.0002555738,0.000002808064,0.00001617254,0.000008168862,0.000009420791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00290466,"threshold_uncertainty_score":0.1726352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009409777931037437,"score_gpt":0.2150497528341606,"score_spread":0.2056399749031232,"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."}}