{"id":"W2052083252","doi":"10.1002/cjce.20148","title":"Scale‐up strategy for the jetting fluidized bed using a CFD model based on two‐fluid theory","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Technologies Research and Development Program; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China; National Science Foundation","keywords":"Dimensionless quantity; Scaling; Computational fluid dynamics; Jet (fluid); Scale (ratio); Mechanics; Fluidized bed; Scale model; SCALE-UP; Statistical physics; Materials science; Physics; Mathematics; Aerospace engineering; Classical mechanics; Engineering; Thermodynamics; 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":[0.0008196112,0.0002592472,0.0003047308,0.0001645513,0.0001658238,0.0001119942,0.0004905016,0.0001112578,0.00001305661],"category_scores_gemma":[0.0001744133,0.0001610984,0.0002636892,0.0002115611,0.00005059792,0.00009931801,0.000005389995,0.0005368201,0.000001237882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611621,"about_ca_system_score_gemma":0.0002774816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005749473,"about_ca_topic_score_gemma":0.00002455846,"domain_scores_codex":[0.9986689,0.00002183072,0.0004225108,0.0001144109,0.0002248163,0.0005475379],"domain_scores_gemma":[0.9988691,0.000336527,0.00005549315,0.0002736583,0.0001011165,0.0003640947],"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":[0.00003273751,0.000002951025,9.557878e-7,0.00001323933,0.00003139499,0.00000537108,0.0001054175,0.5828809,0.4138747,0.0004371506,0.0001392057,0.002475997],"study_design_scores_gemma":[0.0007546782,0.00002631575,0.00000147577,0.00009032615,0.00007422541,0.00003546718,0.00001133507,0.7331299,0.2649822,0.0006492854,0.00008533249,0.0001594756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7462569,0.001651475,0.2497725,0.0008920081,0.0007063575,0.0004225,0.00003039436,0.0001084212,0.000159388],"genre_scores_gemma":[0.9967203,0.000002988032,0.002549573,0.0002717772,0.0003872611,0.000004955016,0.000002338228,0.00005684421,0.000004035007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2504633,"threshold_uncertainty_score":0.6569403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547006500682165,"score_gpt":0.2182818259575514,"score_spread":0.2028117609507297,"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."}}