{"id":"W2069959357","doi":"10.1021/ef7004817","title":"Impact of Asphaltene-Rich Aggregate Size on Coke Deposition on a Commercial Hydroprocessing Catalyst","year":2008,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Asphaltene; Coke; Hydrodesulfurization; Chemical engineering; Pellets; Asphalt; Catalysis; Refining (metallurgy); Deposition (geology); Naphtha; Materials science; Chemistry; Mineralogy; Metallurgy; Composite material; Organic chemistry; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.00005245479,0.0002147277,0.0003450511,0.0001340796,0.0001846084,0.00001796147,0.0001020009,0.00007045865,0.00003264173],"category_scores_gemma":[0.00002986669,0.0001899694,0.0001641858,0.0003764512,0.00005580663,0.0001064935,0.00002295162,0.00009382089,0.0000227587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009978913,"about_ca_system_score_gemma":0.00002303375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002197463,"about_ca_topic_score_gemma":0.00007659361,"domain_scores_codex":[0.9989949,0.00002065501,0.0003096438,0.000194794,0.0002544519,0.0002255251],"domain_scores_gemma":[0.9994416,0.00009056147,0.00009570521,0.0002350851,0.00006777189,0.00006932615],"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":[0.0003856172,0.0008180666,0.007013952,0.0001962791,0.001726789,0.0001641296,0.003373654,0.4443333,0.494884,0.0007152568,0.005074596,0.04131434],"study_design_scores_gemma":[0.001362513,0.0004388669,0.06025981,0.0002113714,0.0001316569,0.00004715691,0.00003539843,0.004166336,0.9319391,0.0001105563,0.0006564679,0.0006407325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897922,0.000593297,0.000693152,0.00002646809,0.000122525,0.00003832786,0.00002751338,0.000133812,0.00857274],"genre_scores_gemma":[0.9990323,0.0003949201,0.00005907461,0.0000734008,0.0001597222,0.00001474071,0.00006392543,0.00003947127,0.0001624876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.440167,"threshold_uncertainty_score":0.7746726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013748045970494,"score_gpt":0.2401975346274511,"score_spread":0.2264494886569571,"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."}}