{"id":"W4311877639","doi":"10.1002/cjce.24801","title":"A parallel algorithm for direct simulation of fluidized beds","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compressibility; Fluidized bed; Moment (physics); Particle (ecology); Computer science; Domain (mathematical analysis); Fluidization; Algorithm; Computer simulation; Direct numerical simulation; Mechanics; Mathematical optimization; Applied mathematics; Computational science; Mathematics; Simulation; Physics; Classical mechanics; Mathematical analysis; Geology; Thermodynamics; Turbulence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004447961,0.0005149944,0.0005662331,0.0003091222,0.0006750138,0.0006128095,0.001366297,0.0005915922,0.003845703],"category_scores_gemma":[0.001207852,0.0003593116,0.0004127401,0.0004322327,0.0005321535,0.0004718036,0.001307521,0.0007289599,0.0008264455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056612,"about_ca_system_score_gemma":0.0009555511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003783153,"about_ca_topic_score_gemma":0.002578173,"domain_scores_codex":[0.9997525,0.00005648056,0.00001211709,0.00003277322,0.0001150549,0.0000310688],"domain_scores_gemma":[0.9995748,0.0001575921,0.00002342989,0.00006754493,0.0001353236,0.00004118844],"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":[0.0002619734,0.000130883,0.001057568,0.0001446305,0.00006188715,0.0003052078,0.0001553897,0.80305,0.01523627,0.04155909,0.003955041,0.134082],"study_design_scores_gemma":[0.00003867646,0.00001752048,0.00005647941,0.000002920749,0.000003158673,0.00002541208,0.000004477988,0.9923268,0.00157098,0.003624475,0.002324933,0.000004231418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01613881,0.0001052267,0.9774514,0.00008366836,0.00005846756,0.0000831813,0.00007126105,0.001126569,0.004881445],"genre_scores_gemma":[0.2273685,0.0001299268,0.766879,0.00006194214,0.00003529451,0.000386192,0.00021275,0.0002602199,0.004666246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003845703,"threshold_uncertainty_score":0.01286513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008737785386334766,"score_gpt":0.1940536151260893,"score_spread":0.1853158297397546,"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."}}