{"id":"W4396678233","doi":"10.1063/5.0203702","title":"Impact of several coarse-graining models on a pilot-scale fluidized bed behavior using discrete element method–computational fluid dynamics","year":2024,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Enerkem (Canada)","funders":"Mitacs","keywords":"Physics; Discrete element method; Granularity; Computational fluid dynamics; Scale (ratio); Mechanics; Statistical physics; Dynamics (music); Fluidization; Fluidized bed; Fluid dynamics; Classical mechanics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008133774,0.0008640666,0.0006517411,0.0005060083,0.0005350028,0.001078588,0.000700597,0.0009924212,0.001115403],"category_scores_gemma":[0.002890685,0.0003233881,0.0006130777,0.0003439776,0.000506325,0.0006947092,0.0006005412,0.0009055949,0.0001882063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000584138,"about_ca_system_score_gemma":0.0007801147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007740243,"about_ca_topic_score_gemma":0.006335321,"domain_scores_codex":[0.9996586,0.00007937521,0.00003549182,0.00006113575,0.0001144275,0.00005096886],"domain_scores_gemma":[0.9983841,0.00103817,0.0001280318,0.0001789817,0.000180058,0.0000906014],"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":[0.0006675032,0.000471159,0.0134825,0.0005775131,0.0001156553,0.0003499133,0.0002336146,0.890378,0.05407088,0.003214285,0.0004610547,0.03597791],"study_design_scores_gemma":[0.00003149889,0.0002274739,0.002480067,0.00003390274,0.0000384034,0.00003184941,0.00006817264,0.9748328,0.02085397,0.0003762398,0.001000247,0.00002531697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024015,0.001325008,0.08862535,0.0004010715,0.00019382,0.0001694253,0.0004270025,0.0009534908,0.005503259],"genre_scores_gemma":[0.9731119,0.0003267725,0.02577835,0.00003205513,0.000007130475,0.00006116374,0.0001945029,0.00007033152,0.0004177938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007740243,"threshold_uncertainty_score":0.01539034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077996370614629,"score_gpt":0.312018135791972,"score_spread":0.2812381720858257,"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."}}