{"id":"W4387779984","doi":"10.1080/17597269.2023.2267849","title":"Biodiesel production from waste cooking oil using KOH/HY-type nano-catalyst derived from silica sand","year":2023,"lang":"en","type":"article","venue":"Biofuels","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Faculty of Engineering and Information Technology, University of Technology Sydney","keywords":"Catalysis; Potassium hydroxide; Raw material; Yield (engineering); Transesterification; Biodiesel; Biodiesel production; Particle size; Materials science; Chemical engineering; Nano-; Potassium; Nuclear chemistry; Waste management; Chemistry; Metallurgy; Organic chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001029829,0.000227698,0.0002241833,0.0001467148,0.00026716,0.00008203576,0.0001790485,0.0001465775,0.0001348988],"category_scores_gemma":[0.0000624047,0.0002366538,0.00006496687,0.0008214506,0.00008852507,0.0001872954,0.00006743392,0.0001675163,0.0009916336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008017696,"about_ca_system_score_gemma":0.00002500288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002890111,"about_ca_topic_score_gemma":0.00002687283,"domain_scores_codex":[0.9986919,0.00002511686,0.0002996638,0.0004809214,0.0001803553,0.0003220431],"domain_scores_gemma":[0.9991958,0.00003800407,0.00006126954,0.000523009,0.0000862149,0.00009569023],"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":[0.000009068223,0.0000188841,0.0002842955,0.00003626496,0.00008168173,0.000001306232,0.0004802159,0.00105181,0.9834545,0.000004803955,0.004167268,0.01040989],"study_design_scores_gemma":[0.0003161033,0.00001107523,0.001347344,0.00008068378,0.00007820407,0.000004199627,0.0006553892,0.008658929,0.938612,0.0004208441,0.04931455,0.0005006557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937861,0.001321424,0.0003361252,0.0005741604,0.001871775,0.0001519108,0.0002330394,0.001221568,0.0005038906],"genre_scores_gemma":[0.9952507,0.0008110456,0.001563236,0.00004487246,0.001210623,0.0000360867,0.0005780762,0.000057437,0.0004479492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04514728,"threshold_uncertainty_score":0.9997862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03857805622131674,"score_gpt":0.2460520592928951,"score_spread":0.2074740030715784,"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."}}