{"id":"W2322739790","doi":"10.1103/physreve.93.033115","title":"Energy dissipation scaling in uniformly sheared turbulence","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Physics; Dissipation; Scaling; Turbulence kinetic energy; Kinetic energy; Reynolds number; Lambda; Scaling law; K-epsilon turbulence model; Physical constant; Energy (signal processing); Classical mechanics; Mathematical physics; Statistical physics; Mechanics; Quantum mechanics; Geometry; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002265229,0.0002633352,0.0002101182,0.0004998444,0.0001817292,0.000623107,0.0002384287,0.0001461604,0.0004573453],"category_scores_gemma":[0.001264217,0.0001691678,0.0001516281,0.0002790398,0.0007298601,0.0006874448,0.0003201389,0.0003092171,0.00009934504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713458,"about_ca_system_score_gemma":0.0001350434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005613362,"about_ca_topic_score_gemma":0.0002628904,"domain_scores_codex":[0.9998901,0.00001524824,0.00001143071,0.00003337625,0.00002876101,0.00002107584],"domain_scores_gemma":[0.9996125,0.00008944672,0.0001244797,0.00007154039,0.00006462075,0.00003740155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007494965,0.0001501822,0.0204177,0.0001645742,0.00004486647,0.0006540483,0.0006069966,0.07057805,0.8419118,0.03323792,0.0004799029,0.03100437],"study_design_scores_gemma":[0.000125682,0.001017142,0.1692587,0.0000881463,0.00006484511,0.0006804767,0.000407352,0.4440631,0.3571022,0.02432344,0.002705801,0.0001631257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902468,0.0006076096,0.006777955,0.00005275848,0.00001946344,0.000008903621,0.00005600279,0.00006356208,0.002167009],"genre_scores_gemma":[0.9990072,0.0001059436,0.0006864589,0.000005293987,0.000003682893,0.000004312124,0.0000190286,0.000005135505,0.0001629972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000623107,"threshold_uncertainty_score":0.002694368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00709987769006537,"score_gpt":0.2447077809778427,"score_spread":0.2376079032877773,"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."}}