{"id":"W1972996607","doi":"10.1002/aic.12144","title":"Numerical investigation of gas mixing in gas‐solid fluidized beds","year":2010,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Backflow; Slugging; Fluidization; TRACER; Mechanics; Mixing (physics); Slip (aerodynamics); Boundary value problem; Computational fluid dynamics; Thermodynamics; Chemistry; Flow (mathematics); Materials science; Fluidized bed; Engineering; Mechanical engineering; Physics; Inlet","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":[0.0004908993,0.0004397752,0.0007691537,0.0005379485,0.0007962476,0.0008033563,0.0007143162,0.001178943,0.0009527149],"category_scores_gemma":[0.001543587,0.0003573709,0.000408591,0.0004142976,0.001266197,0.000413951,0.0006257953,0.000566395,0.0000724065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009191,"about_ca_system_score_gemma":0.0007452875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062226,"about_ca_topic_score_gemma":0.004234978,"domain_scores_codex":[0.9998228,0.0000526544,0.00001207959,0.0000214758,0.00004676369,0.00004440013],"domain_scores_gemma":[0.9990904,0.0006143347,0.00008928362,0.00004109144,0.00008239684,0.00008245769],"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":[0.0003135337,0.0001049583,0.0027327,0.00005449308,0.00002048314,0.0001885798,0.00005817966,0.9864282,0.006972667,0.001096778,0.00005407685,0.001975345],"study_design_scores_gemma":[0.00002162335,0.00004896963,0.0003306603,0.000002670533,0.000003453986,0.000007211025,0.00001131096,0.9977667,0.00168403,0.00007999858,0.00003901077,0.0000043493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866829,0.000107476,0.01080059,0.00009953293,0.00002182988,0.00003733008,0.00007747945,0.00008494201,0.002088021],"genre_scores_gemma":[0.9956371,0.00002736112,0.003914667,0.000008507452,0.000002828626,0.00001673858,0.00003269208,0.000005172614,0.0003549061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062226,"threshold_uncertainty_score":0.02112085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007504329122390487,"score_gpt":0.2188122993061825,"score_spread":0.211307970183792,"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."}}