{"id":"W2621144086","doi":"10.1002/9781119117551.ch3","title":"Immobilized Enzyme Technology for Biodiesel Production","year":2017,"lang":"en","type":"other","venue":"","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biodiesel; Biodiesel production; Lipase; Bioreactor; Production (economics); Pulp and paper industry; Biofuel; Kinetics; Environmental science; Chemistry; Biochemical engineering; Process engineering; Waste management; Enzyme; Engineering; Biochemistry; Organic chemistry; Catalysis; Physics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354288,0.0008988891,0.0004776337,0.001095079,0.0002559657,0.001381707,0.0009574987,0.0006280483,0.01901056],"category_scores_gemma":[0.0001405337,0.0004329747,0.0006097468,0.001361209,0.000253874,0.001276991,0.000786891,0.001169414,0.01952386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006836145,"about_ca_system_score_gemma":0.0005324939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007949186,"about_ca_topic_score_gemma":0.001360173,"domain_scores_codex":[0.9996753,0.00001317746,0.0000155109,0.00006754303,0.0002002156,0.00002828623],"domain_scores_gemma":[0.9999599,0.000006472479,0.000005260828,0.000006842464,0.00001614695,0.000005441368],"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":[0.00009246387,0.0001847091,0.0001378241,0.00128926,0.00002259509,0.0002193142,0.00007355036,0.0007489513,0.6764544,0.006437498,0.01083202,0.3035074],"study_design_scores_gemma":[0.00001643189,0.0000863167,0.0004403262,0.0001627432,0.00002792816,0.0002666021,0.0000276701,0.001248358,0.6103879,0.0008922293,0.3864205,0.0000229215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0726887,0.1773223,0.2510567,0.002024479,0.002484143,0.0004570994,0.003418821,0.006820498,0.4837272],"genre_scores_gemma":[0.0859978,0.1428246,0.09203145,0.0005861199,0.0004356604,0.0002445544,0.005484075,0.001067447,0.6713282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01901056,"threshold_uncertainty_score":0.06359673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119925711777194,"score_gpt":0.2710218446007958,"score_spread":0.2590292734230764,"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."}}