{"id":"W2895816661","doi":"10.1002/cjce.23371","title":"Influence of inter‐particle collisions and agglomeration on cyclone performance and collection efficiency","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Turbulence; Economies of agglomeration; Mechanics; Particle (ecology); Large eddy simulation; Agglomerate; Collision; Computational fluid dynamics; Physics; Meteorology; Materials science; Engineering; Geology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004197617,0.0003325672,0.0004013662,0.0003031638,0.0005236352,0.0007292854,0.000226578,0.0002572187,0.001043239],"category_scores_gemma":[0.0008718977,0.0001359387,0.0001751605,0.0003193473,0.0002374326,0.0003355398,0.0002971228,0.0003427057,0.0002025657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028146,"about_ca_system_score_gemma":0.0002524954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003386241,"about_ca_topic_score_gemma":0.00248873,"domain_scores_codex":[0.999743,0.00004070293,0.00001390456,0.00004951815,0.00008678124,0.00006602013],"domain_scores_gemma":[0.9989758,0.0005698911,0.00008204389,0.00007557524,0.0002000787,0.00009666017],"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":[0.005941712,0.000953329,0.08761368,0.0003230174,0.0002887532,0.0005102917,0.0002785361,0.2932537,0.5653589,0.0007496386,0.001076786,0.04365166],"study_design_scores_gemma":[0.0001262866,0.00211657,0.1484719,0.0000210257,0.0001163306,0.0001352167,0.0001942038,0.3154424,0.5317482,0.0001765927,0.001385029,0.00006622251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981457,0.0001122696,0.000787093,0.00001315832,0.000005326599,0.000008347851,0.00005753901,0.00003691614,0.0008336824],"genre_scores_gemma":[0.9995733,0.00003337665,0.000167043,0.000003196386,0.000001691586,0.000003648581,0.0000444375,0.000008053874,0.0001652388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003386241,"threshold_uncertainty_score":0.00673306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00344552363019579,"score_gpt":0.1765180089784994,"score_spread":0.1730724853483036,"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."}}