{"id":"W4416840308","doi":"10.1002/cjce.70176","title":"Different feedstocks and operating parameters on catalytic cracking of waste cooking oil using <scp>NiO</scp> ‐ <scp> Fe <sub>3</sub> O <sub>4</sub> </scp> ‐ <scp>ZnO</scp> / <scp>AC</scp>","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Raw material; Catalysis; Deoxygenation; Coke; Vegetable oil refining; Yield (engineering); Fluid catalytic cracking; Cetane number; Cracking","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":[0.0001509931,0.0003691248,0.0002617088,0.000251394,0.0001358245,0.000304805,0.0002826244,0.0002442365,0.000781511],"category_scores_gemma":[0.0003074158,0.0001586034,0.0001867941,0.0002996243,0.0001624959,0.0002904714,0.0001592257,0.0003481755,0.0001917843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807844,"about_ca_system_score_gemma":0.0001776314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639847,"about_ca_topic_score_gemma":0.004174144,"domain_scores_codex":[0.9998448,0.00001263288,0.00001783574,0.00003787194,0.00005741871,0.00002931749],"domain_scores_gemma":[0.9999015,0.00003449662,0.0000234451,0.000008131664,0.00002058788,0.00001174807],"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":[0.0002305644,0.0000271306,0.0006149011,0.0001117551,0.0000113029,0.00004879882,0.00002834664,0.0002883426,0.9954239,0.00003215932,0.00002919738,0.003153662],"study_design_scores_gemma":[0.00000375278,0.00009903078,0.002201248,0.000005120819,0.00001361601,0.00002091119,0.00002249157,0.0008160466,0.9965077,0.000008258813,0.000297884,0.000003772044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997444,0.000583722,0.0008093056,0.00002053342,0.000009275124,0.00001370933,0.0001580723,0.00003493655,0.0009263961],"genre_scores_gemma":[0.9988844,0.0002970327,0.000500976,0.000005923735,0.000001759382,0.00000795226,0.00006553304,0.000009820731,0.0002265981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001639847,"threshold_uncertainty_score":0.003260612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035671584519996,"score_gpt":0.197503073967337,"score_spread":0.1871463581221371,"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."}}