{"id":"W2060646815","doi":"10.1002/cjce.20431","title":"Hydrotreating of light gas oil using carbon nanotube supported NiMoS catalysts: Kinetic modelling","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Syncrude (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Hydrodenitrogenation; Hydrodesulfurization; Catalysis; Chemistry; Physical chemistry; Activation energy; Nuclear chemistry; Physics; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002465498,0.0005387956,0.0005159031,0.0003662416,0.0001917089,0.000542461,0.0005520817,0.0007749844,0.001122952],"category_scores_gemma":[0.0005041783,0.0003183004,0.0007392495,0.0003311637,0.0001776735,0.0005288059,0.0001783597,0.0003430922,0.0003345633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009645209,"about_ca_system_score_gemma":0.0006014947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198023,"about_ca_topic_score_gemma":0.008522618,"domain_scores_codex":[0.9999284,0.0000115419,0.000005897492,0.00001560814,0.00002531095,0.00001331945],"domain_scores_gemma":[0.9998312,0.0001023324,0.00002318998,0.000008560539,0.00002863651,0.000005988874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007313104,0.00005553391,0.001600111,0.0001890868,0.00002760867,0.0001484656,0.0000642971,0.9551123,0.03359379,0.001896973,0.0001208129,0.00711792],"study_design_scores_gemma":[0.000003507025,0.00001480658,0.0002379757,0.000006539314,0.000004554279,0.00001010102,0.000008121599,0.9920316,0.007150447,0.0001819613,0.0003445216,0.000005859053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8626618,0.001409786,0.1223853,0.0002216958,0.00004381085,0.0001341309,0.0007434822,0.0002606697,0.01213932],"genre_scores_gemma":[0.9828719,0.0009359778,0.009059818,0.00001615697,0.000005768119,0.0001146531,0.0002685852,0.00004066633,0.006686479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198023,"threshold_uncertainty_score":0.023821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008637001688359562,"score_gpt":0.1802251054000727,"score_spread":0.1715881037117131,"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."}}