{"id":"W2002895036","doi":"10.1021/ef0200370","title":"FCC Study of Canadian Oil-Sands Derived Vacuum Gas Oils. 2. Effects of Feedstocks and Catalysts on Distributions of Sulfur and Nitrogen in Liquid Products","year":2002,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sulfur; Oil sands; Coker unit; Chemistry; Fuel oil; Gasoline; Fluid catalytic cracking; Nitrogen; Catalysis; Hydrodesulfurization; Product distribution; Cracking; Pilot plant; Raw material; Fraction (chemistry); Vacuum distillation; Pulp and paper industry; Coke; Waste management; Organic chemistry; Asphalt; Materials science; Distillation; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006757848,0.0001433714,0.0003784407,0.0004394806,0.00004548334,0.000006539824,0.00006377525,0.00004574672,0.000004703185],"category_scores_gemma":[0.00005131653,0.0001410527,0.00002776067,0.0006347442,0.00005518224,0.00005425637,0.00003429391,0.00005336462,3.444787e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000333943,"about_ca_system_score_gemma":0.00001407538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01193479,"about_ca_topic_score_gemma":0.03952947,"domain_scores_codex":[0.999192,0.00002734215,0.0003053407,0.0001818588,0.0001200534,0.0001734058],"domain_scores_gemma":[0.99951,0.00005738653,0.00006388882,0.0002135349,0.00007360052,0.00008156864],"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":[0.00006351026,0.0007232268,0.01213065,0.0008666479,0.0007527337,0.00003328379,0.008878632,0.001354753,0.9695778,0.0007964414,0.0004986399,0.004323689],"study_design_scores_gemma":[0.0009011108,0.0002956534,0.009634664,0.00008365876,0.00009660068,0.000002646773,0.0001908515,0.00008018027,0.9883119,0.00002935984,0.0002150337,0.0001583636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967739,0.002531346,0.00001257784,0.00005040803,0.00004358196,0.00008217772,0.00005330072,0.00001548355,0.0004372475],"genre_scores_gemma":[0.9990171,0.0008332607,0.00001720752,0.000004394205,0.00001867379,0.0000308196,0.00003149923,0.00001496099,0.00003207757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759468,"threshold_uncertainty_score":0.9946448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008466752456512945,"score_gpt":0.1850036578449949,"score_spread":0.176536905388482,"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."}}