{"id":"W2272600019","doi":"10.1002/cjce.22408","title":"Kinetic modelling of enzymatic biodiesel production from castor oil: Temperature dependence of the Ping Pong parameters","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiesel; Ping pong; Transesterification; Arrhenius equation; Chemistry; Kinetics; Castor oil; Biodiesel production; Kinetic energy; Diesel fuel; Lipase; Thermodynamics; Alcohol; Activation energy; Organic chemistry; Methanol; Enzyme; Catalysis; Physics","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":[0.0002106588,0.00010915,0.0001798935,0.0000833013,0.00003553532,0.00001897489,0.0002967871,0.00006881933,0.000003978808],"category_scores_gemma":[0.0002055752,0.00007643425,0.00007308998,0.0002680439,0.00008191657,0.00008273966,0.00001107818,0.0003791595,9.623309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358955,"about_ca_system_score_gemma":0.0001285525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009022272,"about_ca_topic_score_gemma":0.00009632672,"domain_scores_codex":[0.9992224,0.00001251238,0.0003492189,0.00007622797,0.0001814409,0.0001581736],"domain_scores_gemma":[0.9992976,0.00003472617,0.0001066798,0.0002342467,0.0001564342,0.0001703629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002124492,0.000002722961,0.00002559075,0.00005136893,0.00003836754,5.745168e-7,0.0007127927,0.7994949,0.1992256,0.00004673453,0.0002432078,0.0001560316],"study_design_scores_gemma":[0.0001819586,0.00001019754,0.00006581791,0.0003732342,0.00007452488,0.00009069304,0.0001839076,0.163642,0.8346409,0.0002367112,0.0003331906,0.0001668436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959089,0.001323327,0.001395341,0.0006926671,0.0005601432,0.00006044405,0.00001122952,0.00001549016,0.00003248455],"genre_scores_gemma":[0.9971104,0.00001146422,0.002687751,0.0000109175,0.00014905,0.000003079112,0.00000103876,0.00001646945,0.000009850226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6358529,"threshold_uncertainty_score":0.3116899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744825022623609,"score_gpt":0.1837594288797119,"score_spread":0.1563111786534758,"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."}}