{"id":"W4366506621","doi":"10.11159/iceptp23.145","title":"Sustainable Biodiesel Production from Waste Cooking Oil and Waste Animal Fats","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiesel; Biodiesel production; Cooking oil; Waste management; Production (economics); Animal waste; Waste oil; Animal fat; Environmental science; Waste material; Business; Food science; Engineering; Chemistry","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":[0.00007391229,0.0002294551,0.0001849897,0.0001527546,0.0002109096,0.00006939821,0.0001433414,0.00005010438,0.00001340069],"category_scores_gemma":[0.00001512223,0.0001956286,0.00003915001,0.0002887868,0.0001315716,0.0002534158,0.0001527554,0.0002089844,0.000003436709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005923686,"about_ca_system_score_gemma":0.000001758572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297136,"about_ca_topic_score_gemma":0.0000048875,"domain_scores_codex":[0.9990188,0.000002154241,0.0002037963,0.0003071746,0.0001738436,0.0002942475],"domain_scores_gemma":[0.999724,0.00001789254,0.00005870194,0.0001164796,0.00001232278,0.00007061208],"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":[0.00003932444,0.0000154433,0.002628341,0.0008992629,0.0001666998,0.000001501083,0.0007402145,0.02934799,0.9515848,0.002265239,0.005059688,0.00725156],"study_design_scores_gemma":[0.001072863,0.00008395831,0.02967828,0.0005873307,0.0001475407,0.00003799766,0.008298201,0.1473146,0.7904444,0.0007836451,0.02027661,0.001274584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978763,0.000442928,0.000002080947,0.0004503277,0.0003956167,0.0001238858,0.00003762337,0.0002260328,0.000445221],"genre_scores_gemma":[0.9967728,0.0007205749,0.0001429702,0.0000117887,0.0001526525,0.00003728217,0.0000117503,0.0000362917,0.002113899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611404,"threshold_uncertainty_score":0.7977505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006036082460040513,"score_gpt":0.1802499607485031,"score_spread":0.1742138782884626,"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."}}