{"id":"W2075251527","doi":"10.1016/j.powtec.2011.09.026","title":"Application of the particle in cell approach for the simulation of bubbling fluidized beds of Geldart A particles","year":2011,"lang":"en","type":"article","venue":"Powder Technology","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Drag; Fluidization; Mechanics; Fluidized bed; Two-fluid model; Particle (ecology); Bubble; Work (physics); Experimental data; Physics; Simulation; Statistical physics; Computer science; Thermodynamics; Mathematics; Geology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996808,0.0005184317,0.0008576457,0.0004263596,0.0007815944,0.001033775,0.001074096,0.001777302,0.002114747],"category_scores_gemma":[0.001178756,0.0003935401,0.0006453567,0.0004330909,0.0006999963,0.0004105397,0.0005002305,0.0009946958,0.0001762325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007898189,"about_ca_system_score_gemma":0.001335267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408968,"about_ca_topic_score_gemma":0.006782247,"domain_scores_codex":[0.9998866,0.00003776752,0.000006810805,0.00001483784,0.0000278472,0.00002602937],"domain_scores_gemma":[0.999255,0.0005198433,0.00003431366,0.00003740786,0.00007999261,0.00007338856],"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":[0.00007699698,0.0001596611,0.001421336,0.0000503831,0.00003899265,0.0001461361,0.00007596732,0.9844311,0.005245158,0.005040736,0.0001653379,0.003148185],"study_design_scores_gemma":[0.00001602491,0.00002147768,0.00009504824,0.000001445949,0.000003795246,0.000006449715,0.00001156873,0.9985788,0.0009215442,0.0001743001,0.0001655131,0.000004019074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8738288,0.0003696156,0.1102536,0.0005054878,0.0002550726,0.000184562,0.0003232018,0.0003026168,0.01397696],"genre_scores_gemma":[0.9604378,0.0001919995,0.03738511,0.00008105671,0.00002944271,0.000147206,0.000156319,0.00006500245,0.001506207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408968,"threshold_uncertainty_score":0.02801532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969290531780603,"score_gpt":0.2182531052741946,"score_spread":0.1985601999563886,"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."}}