{"id":"W2072219403","doi":"10.1063/1.4768809","title":"Quantifying effects of hyperviscosity on isotropic turbulence","year":2012,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redeemer University","funders":"","keywords":"Turbulence; Physics; Isotropy; K-omega turbulence model; Hyperviscosity; Reynolds number; K-epsilon turbulence model; Mechanics; Reynolds decomposition; Statistical physics; Turbulence modeling; Homogeneous isotropic turbulence; Classical mechanics; Reynolds stress equation model; Direct numerical simulation; Optics; Blood viscosity; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149555,0.0006321423,0.0004025207,0.000903712,0.0003823384,0.002146124,0.0004097264,0.0004677111,0.0004768048],"category_scores_gemma":[0.00870907,0.0002510728,0.0002901075,0.001005723,0.00139758,0.002090738,0.001514965,0.0006241918,0.000101078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005319818,"about_ca_system_score_gemma":0.0004226954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373632,"about_ca_topic_score_gemma":0.001208176,"domain_scores_codex":[0.999156,0.0002984103,0.00004286542,0.00013308,0.0002840242,0.00008554256],"domain_scores_gemma":[0.9935942,0.00399627,0.0008540161,0.0009521049,0.0004449948,0.000158415],"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":[0.0006597711,0.0001267501,0.07027549,0.0002528763,0.00008153229,0.0009184958,0.0006891564,0.6128038,0.1260197,0.08464611,0.000439593,0.1030866],"study_design_scores_gemma":[0.00001519385,0.0002325835,0.02876325,0.00005069618,0.00004655925,0.0002681885,0.0002182343,0.8879929,0.04655822,0.03450228,0.001257194,0.00009461932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8401218,0.0004858499,0.1526057,0.0001375606,0.00004141173,0.00004960004,0.00008495498,0.0002234548,0.006249795],"genre_scores_gemma":[0.9922209,0.0001691895,0.007257332,0.00001468644,0.00001109305,0.00001182053,0.00002871125,0.00002769824,0.0002584191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146124,"threshold_uncertainty_score":0.007909358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596764434818511,"score_gpt":0.226970412453099,"score_spread":0.2110027681049139,"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."}}