{"id":"W2021006912","doi":"10.1002/cjce.20071","title":"Application of discrete element method simulation for studying fluidization of nanoparticle agglomerates","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Fluidization; Agglomerate; Discrete element method; Materials science; Nanoparticle; Fluidized bed; Particle (ecology); Settling; Particulates; Mechanics; CFD-DEM; Composite material; Nanotechnology; Thermodynamics; Chemistry; Geology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678073,0.00007675077,0.0001720516,0.00008847203,0.00003364555,0.000005736374,0.0001141925,0.00003856705,0.000003169889],"category_scores_gemma":[0.00008398954,0.00006427954,0.00007325529,0.0001709601,0.00002130121,0.00007120387,0.00000394902,0.00007586864,2.083435e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000699554,"about_ca_system_score_gemma":0.00004948832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006904857,"about_ca_topic_score_gemma":0.00001021462,"domain_scores_codex":[0.9993093,0.000008437616,0.0003864944,0.00004357926,0.000113364,0.0001388219],"domain_scores_gemma":[0.9994835,0.0001121803,0.00007692281,0.00009044135,0.000138219,0.00009873518],"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":[0.000005791342,0.000002122246,0.0001105161,0.00003492572,0.00002565906,3.133045e-7,0.0002438535,0.4386765,0.5602932,0.0001310352,0.000008521049,0.0004676139],"study_design_scores_gemma":[0.0002480103,0.00001401918,0.0000469055,0.00001675735,0.00002100919,0.00000496544,0.000006800217,0.4623524,0.5371339,0.00003535888,0.00008154289,0.00003831529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5891783,0.000311208,0.4102994,0.00002504089,0.00005207067,0.0001168398,0.000005404339,0.000007452105,0.000004261013],"genre_scores_gemma":[0.9932362,0.000004160891,0.006668825,0.000004078604,0.0000586261,0.000006534921,0.000003722123,0.00001737983,5.122392e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4040578,"threshold_uncertainty_score":0.2621244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362142452509343,"score_gpt":0.2316463557606861,"score_spread":0.2180249312355927,"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."}}