{"id":"W2028763593","doi":"10.1002/cjce.21900","title":"Numerical simulation of spouting of cylindroid particles in a spouted bed","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pressure drop; Mechanics; Drag; Drag coefficient; Discrete element method; Computational fluid dynamics; Materials science; CFD-DEM; Drop (telecommunication); Flow (mathematics); Physics; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001898118,0.00008971179,0.0002358603,0.0001475192,0.000009162762,0.00001098813,0.0001632227,0.00006509446,0.00003386077],"category_scores_gemma":[0.0001925522,0.00007436822,0.00007765119,0.0002534142,0.00003025343,0.00008660862,0.00000490893,0.0002332462,0.000002153139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007447568,"about_ca_system_score_gemma":0.00005905393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006385464,"about_ca_topic_score_gemma":0.00003554883,"domain_scores_codex":[0.9991506,0.000009680621,0.0004642067,0.00004064494,0.0001207117,0.0002140934],"domain_scores_gemma":[0.9994812,0.0001157553,0.00006204368,0.00009599121,0.00007669409,0.0001682938],"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":[0.000003787902,0.000004156934,0.0008736944,0.0000387268,0.00002132517,0.000005463423,0.0003263775,0.565423,0.4324611,0.00004410257,0.000007763369,0.0007904975],"study_design_scores_gemma":[0.0002662172,0.00001020201,0.0008855088,0.00009235005,0.000011089,0.00001310362,0.00001317944,0.6315389,0.3670086,0.00007828911,0.00001500488,0.0000674889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974591,0.0002385088,0.002058511,0.00006293967,0.00007714429,0.00006051979,0.000001677384,0.000008937089,0.00003266642],"genre_scores_gemma":[0.9993404,0.000001048707,0.0005850082,0.000005797917,0.00004812334,0.000001190522,6.854106e-7,0.00001744355,2.951106e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06611592,"threshold_uncertainty_score":0.3032648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006831727570099888,"score_gpt":0.1793666342605857,"score_spread":0.1725349066904858,"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."}}