{"id":"W4312726143","doi":"10.1115/fedsm2022-87534","title":"Vortex Identification in Large Eddy Simulations Under the Lattice Boltzmann Framework With a Smagorinsky Subgrid Model","year":2022,"lang":"en","type":"article","venue":"","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lattice Boltzmann methods; Turbulence; Statistical physics; Reynolds number; Vorticity; Large eddy simulation; Vortex; Physics; Maxima and minima; Computational fluid dynamics; Mechanics; Classical mechanics; Mathematics; Mathematical analysis","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":[0.0003444725,0.0001875661,0.0001757081,0.000147072,0.0004763842,0.00007481093,0.0002537351,0.00004802764,0.0002375177],"category_scores_gemma":[0.00003226138,0.0001465431,0.00004435828,0.000770417,0.00003654349,0.0002871666,0.0001409957,0.0004505262,0.00004302156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854521,"about_ca_system_score_gemma":0.00003100031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002288647,"about_ca_topic_score_gemma":0.0003754134,"domain_scores_codex":[0.9985372,0.00006032032,0.0003700205,0.0002621247,0.0004359545,0.0003343879],"domain_scores_gemma":[0.9989524,0.0003607465,0.00005697986,0.0005111421,0.00007709621,0.00004158109],"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":[0.00001085034,0.00005732146,0.003377391,0.00001106131,0.00005026396,0.000001634829,0.001383478,0.9495491,0.00005491279,0.04527507,0.0001852103,0.00004365548],"study_design_scores_gemma":[0.0004391655,0.00001186705,0.02725806,0.000006597865,0.00003869994,0.000002118975,0.002154159,0.9593781,0.0000304699,0.009225088,0.001237882,0.0002177683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5822292,0.0002428664,0.4124815,0.0009231726,0.0002509833,0.0005628041,0.00006409031,0.0004745967,0.002770849],"genre_scores_gemma":[0.996034,0.00001008927,0.002139525,0.0003779239,0.00005302408,0.0001485971,0.00002796159,0.00005347315,0.001155424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4138048,"threshold_uncertainty_score":0.5975856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126167227446426,"score_gpt":0.2649669253570267,"score_spread":0.2437052530825624,"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."}}