{"id":"W1968307088","doi":"10.1002/ceat.200600311","title":"Evaluations and Modifications on Reynolds Stress Model in Cyclone Simulations","year":2006,"lang":"en","type":"article","venue":"Chemical Engineering & Technology","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds stress; Turbulence; Cyclone (programming language); Mechanics; Flow (mathematics); Particle image velocimetry; Root mean square; Reynolds number; Mean flow; Turbulence kinetic energy; Computational fluid dynamics; Mathematics; Meteorology; Environmental science; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00002850113,0.0001501595,0.0001564331,0.000354184,0.0000252028,0.00001199222,0.0001086169,0.0002341737,0.00000298287],"category_scores_gemma":[0.0000392559,0.0001769492,0.00002206069,0.0004236364,0.00004250377,0.00004722704,0.000028189,0.0002759957,0.000004413886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128934,"about_ca_system_score_gemma":0.000008437459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008315176,"about_ca_topic_score_gemma":0.00001047838,"domain_scores_codex":[0.9992759,0.000001763793,0.0002266962,0.0001898255,0.00007766305,0.0002281496],"domain_scores_gemma":[0.9996299,0.00004348625,0.00001222437,0.000258245,0.00002156657,0.00003456948],"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":[7.857718e-7,0.00002932425,0.0001546879,0.00001180861,0.000004299195,8.655238e-7,0.00001080902,0.8345156,0.1434735,0.02144377,0.00004327323,0.0003113078],"study_design_scores_gemma":[0.0002132259,0.000005867641,0.0004195626,0.00002248388,0.000007871726,0.00000261548,0.000003186163,0.9755909,0.02031424,0.003179713,0.00007381681,0.0001665148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192048,0.0002391109,0.07904604,0.0001627406,0.00004227317,0.0001313129,0.00004677488,0.0007298162,0.0003971818],"genre_scores_gemma":[0.9951308,0.00001909235,0.004667889,0.000005022463,0.00002499417,0.00005090042,0.00004560207,0.00003410929,0.00002154507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410753,"threshold_uncertainty_score":0.7215779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005722884066254034,"score_gpt":0.219517940436414,"score_spread":0.2137950563701599,"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."}}