{"id":"W2514238268","doi":"10.1016/j.bcab.2016.08.014","title":"Optimization of biodiesel production from mixture of edible and nonedible vegetable oils","year":2016,"lang":"en","type":"article","venue":"Biocatalysis and Agricultural Biotechnology","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biodiesel; Biodiesel production; Response surface methodology; Central composite design; Methanol; Yield (engineering); Fatty acid methyl ester; Vegetable oil; Catalysis; Transesterification; Acid value; Chemistry; Pulp and paper industry; Organic chemistry; Materials science; Chemical engineering; Chromatography; Composite material; Biochemistry; Engineering","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":[0.000338103,0.0005908092,0.0005048412,0.0004224402,0.0002148668,0.000703504,0.0003933166,0.0003107174,0.00070649],"category_scores_gemma":[0.000466921,0.0002755338,0.0003751597,0.0005859201,0.0001826222,0.0004347343,0.0003874691,0.0004208887,0.000325287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005718466,"about_ca_system_score_gemma":0.0003932234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966169,"about_ca_topic_score_gemma":0.004095485,"domain_scores_codex":[0.9996299,0.00004592588,0.00004908274,0.00009452766,0.0001140535,0.00006657204],"domain_scores_gemma":[0.9998627,0.00003246954,0.00002929904,0.00001030327,0.00004340999,0.00002180339],"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":[0.0003425344,0.00008587603,0.0002672113,0.00008664488,0.00001374842,0.00004330618,0.00002060708,0.0008599024,0.9956639,0.00005277955,0.00002214554,0.002541307],"study_design_scores_gemma":[0.0000157291,0.0002025877,0.0005923273,0.000004434888,0.00002200773,0.00002239468,0.00001778263,0.001222444,0.9973901,0.00001025686,0.000493468,0.000006517576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957437,0.0006729748,0.002270475,0.00003993763,0.00001223995,0.00003051821,0.0001600552,0.00003702055,0.001033015],"genre_scores_gemma":[0.9955876,0.0005822229,0.00278682,0.00001124729,0.000002222805,0.00002248154,0.0001971934,0.00002154173,0.0007886158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966169,"threshold_uncertainty_score":0.004149079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004935471485716948,"score_gpt":0.1660368831306193,"score_spread":0.1611014116449023,"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."}}