{"id":"W2602877360","doi":"10.1021/acs.energyfuels.6b03335","title":"Conversion of Petroleum Coke in a High-Pressure Entrained-Flow Gasifier: Comparison of Computational Fluid Dynamics Model and Experiment","year":2017,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Government of Canada","keywords":"Petroleum coke; Wood gas generator; Coke; Computational fluid dynamics; Petroleum engineering; Environmental science; Flow (mathematics); Fluid dynamics; Thermodynamics; Petroleum; Process engineering; Waste management; Mechanics; Materials science; Chemistry; Engineering; Coal; Physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000466741,0.0005431551,0.0006268818,0.0002962863,0.0005542342,0.0009872495,0.0006450096,0.001077131,0.0009600985],"category_scores_gemma":[0.0007103156,0.0002280555,0.0006027903,0.0003371426,0.0005172296,0.0006752879,0.0003170097,0.0007146288,0.0001980614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008338093,"about_ca_system_score_gemma":0.0009019726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251313,"about_ca_topic_score_gemma":0.01154806,"domain_scores_codex":[0.9998611,0.0000287017,0.00001106727,0.00002928743,0.00004926867,0.00002060321],"domain_scores_gemma":[0.9996126,0.0002329272,0.00002517887,0.00002966549,0.00008012427,0.00001956917],"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":[0.001068046,0.0006521949,0.008049286,0.0003569656,0.00003496133,0.0002912352,0.0002741705,0.8872724,0.08774443,0.001331404,0.0003020272,0.01262286],"study_design_scores_gemma":[0.00006836213,0.0003407552,0.002703208,0.00001435651,0.00001359294,0.00002601285,0.00008152349,0.9239189,0.07210721,0.0001583648,0.0005396342,0.00002805357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868774,0.0001973379,0.007715186,0.0001129278,0.00001782723,0.00008634845,0.0003735828,0.0001437107,0.004475584],"genre_scores_gemma":[0.9942573,0.0001902651,0.004144982,0.00001652162,0.000002224605,0.00004887802,0.0002598732,0.00002236719,0.001057432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02251313,"threshold_uncertainty_score":0.04476416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951022665923295,"score_gpt":0.2273724058372847,"score_spread":0.2178621791780517,"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."}}