{"id":"W2913234281","doi":"10.1016/j.fuel.2019.01.148","title":"Conversion of naphthalene as model compound of polyaromatics to mono-aromatic hydrocarbons under the mixed hydrogen and methane atmosphere","year":2019,"lang":"en","type":"article","venue":"Fuel","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"BTEX; Naphthalene; Benzene; Ethylbenzene; Chemistry; Toluene; Xylene; Catalysis; Methane; Coke; Zeolite; Organic chemistry; Inorganic chemistry; Hydrogen; Hydrocarbon; Selectivity; Photochemistry","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":[0.0001013674,0.0001206387,0.0003086734,0.00002404817,0.00002327124,0.000007276735,0.0001117425,0.00004379035,0.00001743394],"category_scores_gemma":[0.000008834553,0.00009369308,0.00006036421,0.0001852924,0.000043574,0.00004840643,0.00007154918,0.00004654458,0.00002594627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001644401,"about_ca_system_score_gemma":0.00001171821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004565671,"about_ca_topic_score_gemma":0.00001230075,"domain_scores_codex":[0.9993154,0.00001565489,0.0002671746,0.0001094965,0.0001765503,0.0001157703],"domain_scores_gemma":[0.9995012,0.00009503105,0.00006596428,0.0002771436,0.00001565035,0.00004497682],"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":[0.00003989413,0.0001118993,0.002775667,0.001122928,0.001114522,0.000002041046,0.005349809,0.7174767,0.2698075,0.001343488,0.0006430661,0.0002125865],"study_design_scores_gemma":[0.0006993315,0.00007424381,0.002210772,0.0001023834,0.000198561,0.00001102491,0.00159151,0.920791,0.07084455,0.003110767,0.0001242463,0.0002416248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948985,0.001096652,0.001197803,0.00008744524,0.00005662605,0.0001997743,0.00001257521,0.00003227379,0.002418327],"genre_scores_gemma":[0.9989303,0.0001127986,0.000654052,0.0000381832,0.000007540086,0.000005989192,0.000007214945,0.00001990619,0.000224062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2033143,"threshold_uncertainty_score":0.3820693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096604311160338,"score_gpt":0.2150916259795175,"score_spread":0.2041255828679141,"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."}}