{"id":"W2081181611","doi":"10.2202/1542-6580.1034","title":"Simulation of Cold Flow FCC Stripper Hydrodynamics at Small Scale Using Computational Fluid Dynamics","year":2003,"lang":"en","type":"article","venue":"International Journal of Chemical Reactor Engineering","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Computational fluid dynamics; Baffle; Mechanics; Fluid catalytic cracking; Flow (mathematics); Materials science; Fluid dynamics; Volumetric flow rate; Environmental science; Regenerative heat exchanger; Nuclear engineering; Heat exchanger; Thermodynamics; Petroleum engineering; Cracking; Engineering; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002865444,0.0005247164,0.0007558927,0.0004924235,0.0007896534,0.0007718866,0.0006714134,0.001390096,0.001661607],"category_scores_gemma":[0.001341552,0.000376941,0.0006191207,0.0003894902,0.0008413165,0.0004998968,0.0004959168,0.0006723663,0.0001651152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332533,"about_ca_system_score_gemma":0.001690838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03661568,"about_ca_topic_score_gemma":0.01424489,"domain_scores_codex":[0.9998528,0.00003245242,0.00000904729,0.00002160898,0.0000397428,0.00004433617],"domain_scores_gemma":[0.999299,0.000470949,0.00005120358,0.00003323515,0.00008874328,0.00005674632],"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":[0.0000444416,0.00003372425,0.001034341,0.00001377083,0.000006706608,0.0000596739,0.00003332515,0.9953068,0.001639274,0.0006837196,0.0001224388,0.001021713],"study_design_scores_gemma":[0.000008853065,0.000007236661,0.0001935825,0.000001127653,0.000001153354,0.000003337146,0.000008702522,0.999161,0.0004131966,0.00009794383,0.0001008024,0.000003048313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503078,0.0001257681,0.03787228,0.0002882165,0.00005056421,0.0001474164,0.0007344501,0.0004096907,0.01006384],"genre_scores_gemma":[0.9840148,0.00008568448,0.01328379,0.00003722129,0.00001082406,0.0001432737,0.0004089135,0.00004166365,0.001973867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03661568,"threshold_uncertainty_score":0.07280511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00967306445216015,"score_gpt":0.2275918806816578,"score_spread":0.2179188162294976,"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."}}