{"id":"W2802719505","doi":"10.1515/bfuel-2017-0003","title":"Numerical investigation of a cold bubbling bed throughout a dense discrete phase model with KTGF collisional closure","year":2017,"lang":"en","type":"article","venue":"Biofuels Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Enerkem (Canada); Université de Sherbrooke","funders":"","keywords":"Mechanics; Drag; Fluidization; Two-fluid model; Smoothed-particle hydrodynamics; Statistical physics; Flow (mathematics); Particle (ecology); Closure (psychology); Computer simulation; Physics; Materials science; Thermodynamics; Fluidized bed; Geology","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":[0.0005109909,0.0004294456,0.0007222129,0.0005807165,0.0006470972,0.001081142,0.0007430363,0.001256669,0.001440844],"category_scores_gemma":[0.001099167,0.000283197,0.0005341608,0.0004194873,0.0007948345,0.0003820513,0.0005875925,0.0005692352,0.0001053435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009389128,"about_ca_system_score_gemma":0.0008214008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03000046,"about_ca_topic_score_gemma":0.009832752,"domain_scores_codex":[0.9998688,0.0000367702,0.000007917894,0.00001958154,0.00003685242,0.00003017273],"domain_scores_gemma":[0.9993328,0.0003963365,0.00007941612,0.00003651154,0.00009346179,0.0000613052],"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":[0.0000803102,0.00004895837,0.001342336,0.00003803366,0.000009848341,0.0001241278,0.0000299956,0.9936149,0.002130746,0.001580047,0.00006271971,0.0009379781],"study_design_scores_gemma":[0.000007921404,0.00001720758,0.0001364056,0.000001847385,0.000001579212,0.000004049215,0.000007184415,0.9994042,0.0002942461,0.00007471454,0.00004856962,0.000002087552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925888,0.0002672663,0.06129809,0.0003155739,0.00007202094,0.0001306359,0.0003948227,0.0002434764,0.01139005],"genre_scores_gemma":[0.9929884,0.00005410452,0.005490487,0.00001959878,0.000004388675,0.00004440283,0.00008295081,0.0000128051,0.001302843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03000046,"threshold_uncertainty_score":0.05965167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628276474653516,"score_gpt":0.2497339904483619,"score_spread":0.2334512257018267,"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."}}