{"id":"W4410340829","doi":"10.1186/s43088-025-00635-9","title":"Supercritical methanolysis of leather tanning waste biomass: experimental investigation, process simulation, and sustainable biodiesel production","year":2025,"lang":"en","type":"article","venue":"Beni-Suef University Journal of Basic and Applied Sciences","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Biodiesel production; Biodiesel; Supercritical fluid; Biomass (ecology); Waste management; Environmental science; Production (economics); Pulp and paper industry; Process (computing); Biofuel; Process engineering; Engineering; Chemistry; Economics; Computer science; Organic chemistry; Catalysis; Agronomy","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":[0.0003733505,0.0003771752,0.0003891579,0.0002641859,0.000243686,0.0003787363,0.0003948977,0.0004043546,0.0006930804],"category_scores_gemma":[0.0003399662,0.0001548143,0.0005927343,0.0004414544,0.0002415746,0.0002958383,0.0002080268,0.0003390905,0.0001233932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005051943,"about_ca_system_score_gemma":0.0005107521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005930844,"about_ca_topic_score_gemma":0.004145128,"domain_scores_codex":[0.9998611,0.0000194781,0.00001263858,0.00002760482,0.00005512102,0.000024096],"domain_scores_gemma":[0.9998466,0.00007292638,0.00001876674,0.00001654894,0.00003924348,0.000005982338],"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":[0.0009249173,0.0005266292,0.008620939,0.001090645,0.00009706968,0.0004352478,0.0001912558,0.3741642,0.5888058,0.002505612,0.0003528913,0.02228479],"study_design_scores_gemma":[0.00004722748,0.0003892294,0.003655022,0.00001522226,0.00003343269,0.00003212322,0.00007464066,0.6584837,0.3359024,0.0003554091,0.0009870968,0.0000245455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911538,0.0002535125,0.007192026,0.00003212623,0.0000101871,0.00003645151,0.0002389552,0.00004598434,0.001037078],"genre_scores_gemma":[0.9968733,0.0001958876,0.002442292,0.000004052276,0.000002062081,0.00004449173,0.0001071124,0.000004440756,0.0003263877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005930844,"threshold_uncertainty_score":0.01179266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694661947476331,"score_gpt":0.248600639209649,"score_spread":0.2316540197348857,"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."}}