{"id":"W2078532163","doi":"10.1002/cjce.20161","title":"Numerical simulation of a spouted bed with a draft tube with and without liquid spray","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Syncrude","keywords":"Draft tube; Nozzle; Mechanics; Fluent; Spray nozzle; Spray characteristics; Computational fluid dynamics; Materials science; Computer simulation; Eulerian path; Multiphase flow; Flow (mathematics); Thermodynamics; Physics; Lagrangian","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001072119,0.0001415766,0.0002496183,0.0001131854,0.00002373163,0.00002429006,0.0001200507,0.00006232339,0.000007597944],"category_scores_gemma":[0.0000344088,0.00009282105,0.00003801884,0.0002045624,0.00004451407,0.00009376097,0.000002218268,0.0002822788,4.03411e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006161604,"about_ca_system_score_gemma":0.00009233622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006775032,"about_ca_topic_score_gemma":0.00003064786,"domain_scores_codex":[0.9993315,0.000006418908,0.0002232742,0.0000624782,0.0001545636,0.0002217629],"domain_scores_gemma":[0.9994346,0.00003662554,0.00004113828,0.0001081721,0.00007799682,0.0003014561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002216461,0.0000088439,0.0004374642,0.00005200097,0.0001289019,0.00004784182,0.0006798694,0.6513286,0.3464262,0.0001086808,0.00001924933,0.000540717],"study_design_scores_gemma":[0.002180488,0.0007092549,0.0006761011,0.0005039765,0.0001867496,0.000746772,0.00002107493,0.4503874,0.5435356,0.0000347354,0.0005516748,0.0004661619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884718,0.0002897281,0.01088306,0.0001723811,0.00003073604,0.00006790667,0.000002036685,0.00002359264,0.00005874447],"genre_scores_gemma":[0.9986033,0.000001525125,0.001268849,0.00002738105,0.00007251508,6.722735e-7,0.000001068984,0.00002368356,0.000001011114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2009411,"threshold_uncertainty_score":0.3785132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004293046956773512,"score_gpt":0.1772575453964003,"score_spread":0.1729644984396268,"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."}}