{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005487227,0.0001325643,0.0002485747,0.000199223,0.00004589617,0.00003358439,0.0001676866,0.0001339087,0.0001386802],"category_scores_gemma":[0.0001045926,0.0001244805,0.00009254656,0.0002812207,0.00004224198,0.0001887141,0.00001482173,0.0007763976,0.00002254234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003171725,"about_ca_system_score_gemma":0.00004207249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001612247,"about_ca_topic_score_gemma":0.00001286173,"domain_scores_codex":[0.9989267,0.0000486997,0.0004505549,0.00008849626,0.0002206853,0.0002648487],"domain_scores_gemma":[0.9995243,0.00005401058,0.00005890482,0.0001489167,0.0000602072,0.000153667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001250092,0.000014208,0.01151573,0.00002125493,0.00002124569,0.00001796738,0.0005037424,0.0002353968,0.9844067,0.00007134629,0.000819443,0.002360507],"study_design_scores_gemma":[0.001649036,0.0000666919,0.007957354,0.00009352461,0.00003302198,0.0003236269,0.00006571438,0.02397006,0.9618808,0.00251615,0.001170593,0.0002734406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961299,0.0002603425,0.002157538,0.0001922724,0.0006782815,0.00005946419,0.000001156993,0.00004860013,0.0004724637],"genre_scores_gemma":[0.9955239,0.00009999453,0.004029351,0.00004742134,0.0002593872,0.000002961669,0.000003016923,0.00002822362,0.000005738452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02373467,"threshold_uncertainty_score":0.5076166,"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."}}