{"id":"W2766407168","doi":"10.1016/j.enconman.2017.10.045","title":"Optimization of enzyme-catalyzed biodiesel production from crude tall oil using Taguchi method","year":2017,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Northern Ontario Heritage Fund Corporation","keywords":"Biodiesel; Methanol; Biodiesel production; Chemistry; Taguchi methods; Fatty acid methyl ester; Catalysis; Yield (engineering); Distillation; Organic chemistry; Lipase; Nuclear chemistry; Pulp and paper industry; Chromatography; Materials science; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009646137,0.0001082542,0.0001211533,0.00009153948,0.0002425652,0.00004433774,0.0001273387,0.0000461733,0.00006857522],"category_scores_gemma":[0.000008527472,0.0001109692,0.00003132092,0.00005908576,0.00006223081,0.0001734301,0.0001054475,0.00003926214,0.000003896984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000274607,"about_ca_system_score_gemma":0.000003186787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000299586,"about_ca_topic_score_gemma":0.00001137836,"domain_scores_codex":[0.9993999,0.00001626608,0.0001529968,0.0002296945,0.0001009103,0.0001002123],"domain_scores_gemma":[0.9994211,0.000006212786,0.00008858593,0.0004045351,0.0000363186,0.00004326267],"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":[0.00008551157,0.0001981445,0.0001836668,0.0006956871,0.0007360306,0.000004593804,0.000651526,0.6718475,0.1160122,0.0164462,0.02306033,0.1700787],"study_design_scores_gemma":[0.001148536,0.00001389272,0.0007258959,0.0000976943,0.0002068262,0.000003044656,0.000548136,0.5922728,0.2266799,0.0003117989,0.1775443,0.0004471782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09255292,0.001320125,0.8810387,0.002663793,0.002876654,0.000319577,0.00004569815,0.0005148947,0.0186676],"genre_scores_gemma":[0.8668014,0.007816604,0.1217406,0.00009041639,0.0001793689,0.00004064635,0.0001275469,0.00003422136,0.003169132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7742485,"threshold_uncertainty_score":0.4525191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006811034343038,"score_gpt":0.2409784305962138,"score_spread":0.2209103202527834,"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."}}