{"id":"W2284929535","doi":"10.18331/brj2016.3.2.5","title":"Lipase immobilized on polydopamine-coated magnetite nanoparticles for biodiesel production from soybean oil","year":2016,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Lipase; Methanol; Soybean oil; Biodiesel; Transesterification; Biodiesel production; Chemistry; Magnetic nanoparticles; Yield (engineering); Catalysis; Immobilized enzyme; Nanoparticle; Organic chemistry; Materials science; Enzyme; Nanotechnology; Food 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001476227,0.0004250692,0.0002385069,0.0002173669,0.0001061184,0.000315066,0.000234847,0.0003743198,0.0002616093],"category_scores_gemma":[0.0001393925,0.0002086488,0.0002883122,0.0001620427,0.0001481003,0.0002245373,0.0002502359,0.0003030794,0.0002757985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003043236,"about_ca_system_score_gemma":0.0001754375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007546501,"about_ca_topic_score_gemma":0.001294392,"domain_scores_codex":[0.9998971,0.00001497948,0.00001142527,0.00002597901,0.0000293287,0.00002114569],"domain_scores_gemma":[0.999961,0.000006992982,0.000009555428,0.000004518648,0.00001003584,0.000007860059],"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":[0.0000187893,0.000008530972,0.00004002226,0.00001696737,0.000001944987,0.00002392655,0.00000364602,0.0000431403,0.9991509,0.00001828111,0.000005130868,0.0006686772],"study_design_scores_gemma":[0.000003852596,0.0000557872,0.0003340172,0.000002267266,0.000008514571,0.00005027899,0.000006687231,0.0008965259,0.9983013,0.000008852284,0.0003290944,0.000002840981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985994,0.001259649,0.01152776,0.0001084769,0.00002893091,0.0000244747,0.00005931484,0.00006722585,0.0009301627],"genre_scores_gemma":[0.9909383,0.0007930655,0.006619245,0.00002446324,0.000007941855,0.00001642803,0.0001165725,0.00001250686,0.00147139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007546501,"threshold_uncertainty_score":0.002208054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04923424195749864,"score_gpt":0.3333166580542242,"score_spread":0.2840824160967256,"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."}}