{"id":"W2064875555","doi":"10.1002/cjce.21995","title":"Taguchi's methodology for determining optimum operating conditions in hydrothermal pretreatments applied to canola seeds","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Comisión de Investigaciones Científicas; Universidad Nacional del Centro de la Provincia de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Taguchi methods; Autoclave; Canola; Particle size; Peroxide value; Extraction (chemistry); Yield (engineering); Materials science; Acid value; Pulp and paper industry; Chemistry; Chromatography; Metallurgy; Food science; Composite material","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":[0.008028128,0.002160555,0.003158942,0.002839722,0.0008263977,0.001917475,0.001861445,0.001186216,0.0009449697],"category_scores_gemma":[0.005549896,0.001539377,0.001979626,0.003559851,0.0007947683,0.0007458897,0.0009562748,0.002183257,0.0006764715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008598238,"about_ca_system_score_gemma":0.001916168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543164,"about_ca_topic_score_gemma":0.004739924,"domain_scores_codex":[0.9929627,0.002239102,0.001001645,0.0005786341,0.002926566,0.0002914015],"domain_scores_gemma":[0.9973157,0.00143056,0.0004318121,0.0001561507,0.0005919765,0.00007381933],"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":[0.0007246882,0.0004414966,0.001761034,0.00315818,0.0002432349,0.0002924727,0.0005276157,0.01245062,0.8610842,0.00117327,0.0004285262,0.1177147],"study_design_scores_gemma":[0.0002026978,0.004766981,0.006984951,0.0003318965,0.0007785067,0.0005371371,0.000459141,0.04286119,0.9167206,0.001275524,0.02474838,0.0003329259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1621521,0.01977175,0.8062295,0.0003292169,0.0005432378,0.003949174,0.0008517043,0.0008642095,0.005309025],"genre_scores_gemma":[0.122381,0.0049328,0.8667746,0.000123587,0.00004499623,0.003755043,0.0003555573,0.00009004531,0.001542357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008028128,"threshold_uncertainty_score":0.04245734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424370307115009,"score_gpt":0.2458262849770256,"score_spread":0.2215825819058755,"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."}}