{"id":"W1969214480","doi":"10.1002/cjce.20154","title":"Scale‐up study of spouted beds using computational fluid dynamics","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computational fluid dynamics; Scaling; Similitude; Mechanics; Fluent; Work (physics); Scale (ratio); SCALE-UP; Computer simulation; Fluid dynamics; Flow (mathematics); Mechanical engineering; Engineering; Thermodynamics; Mathematics; Physics; Classical mechanics; Geometry","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":[0.0001874277,0.0001420351,0.0002624383,0.0001977442,0.00004017351,0.00002909306,0.0002665507,0.00007025337,0.00001223121],"category_scores_gemma":[0.0000342244,0.000111148,0.00009128902,0.0002740816,0.00002797059,0.00008090667,0.000005803211,0.0003164328,8.894498e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432482,"about_ca_system_score_gemma":0.0001126163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002225566,"about_ca_topic_score_gemma":0.0001473416,"domain_scores_codex":[0.9990685,0.00001015854,0.0004055667,0.00005954357,0.0002125597,0.0002436576],"domain_scores_gemma":[0.9994103,0.00003951584,0.00004906888,0.0001229962,0.000113501,0.0002646661],"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":[0.00001230785,0.00002799851,0.0002791054,0.00002412154,0.0001063774,0.00003746211,0.001014769,0.8530404,0.1435746,0.0001446036,0.00007965323,0.00165862],"study_design_scores_gemma":[0.0008071251,0.00007926536,0.0006020833,0.00007915454,0.00008142997,0.0001979475,0.00009060683,0.9688675,0.02879523,0.0001741412,0.00003454081,0.000190982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920796,0.0001499285,0.007260528,0.00006989321,0.0003025955,0.00007451628,0.000007524924,0.00002125733,0.00003421445],"genre_scores_gemma":[0.9987109,7.257743e-7,0.001130646,0.00001656786,0.0001142214,3.313999e-7,0.000003189651,0.0000220473,0.000001327741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158271,"threshold_uncertainty_score":0.4532483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00751385622885601,"score_gpt":0.1924615173097061,"score_spread":0.1849476610808501,"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."}}