{"id":"W4382810604","doi":"10.1016/j.compfluid.2023.105984","title":"Scale-resolving simulation of a low-pressure turbine on hybrid supercomputers","year":2023,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Moscow State University of Geodesy and Cartography; National Research Council Canada; Russian Science Foundation","keywords":"Turbulence; Laminar flow; Turbomachinery; Computer science; Reynolds number; Mechanics; Supercomputer; Computational science; Cascade; Turbine; Lift (data mining); Physics; Parallel computing; Thermodynamics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003630811,0.0005648776,0.001056837,0.0005533959,0.001302024,0.001460884,0.001508042,0.0021341,0.004615418],"category_scores_gemma":[0.002095089,0.0004931946,0.0006621517,0.001034729,0.001562889,0.0009908694,0.001007031,0.001151949,0.0003108597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111982,"about_ca_system_score_gemma":0.001537681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02540128,"about_ca_topic_score_gemma":0.01151746,"domain_scores_codex":[0.9997115,0.00007609204,0.00001411812,0.00004163031,0.00007374207,0.00008299026],"domain_scores_gemma":[0.9989098,0.0005761835,0.00008582403,0.00007910485,0.0001482699,0.0002007666],"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":[0.0001469311,0.0001371723,0.002361633,0.00002541471,0.0000308046,0.0002100448,0.00005968376,0.9917842,0.001236265,0.002159707,0.0004370055,0.001411123],"study_design_scores_gemma":[0.00003721166,0.00002848346,0.0005677929,0.000001991304,0.000004162951,0.00001012579,0.00002684715,0.9986883,0.0002199891,0.0003233535,0.00008634695,0.000005457898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662419,0.0001820241,0.01072296,0.0007032901,0.0001016688,0.00008328015,0.0004410425,0.0003079555,0.02121579],"genre_scores_gemma":[0.994332,0.00004426414,0.003789805,0.00009480527,0.00002457239,0.0000410601,0.0001676695,0.00005377283,0.001452168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540128,"threshold_uncertainty_score":0.05050689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006674902978731382,"score_gpt":0.2147712642552851,"score_spread":0.2080963612765537,"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."}}