{"id":"W2017702606","doi":"10.1080/10407780902720841","title":"Validation of DES-SST Based Turbulence Model for a Fully Developed Turbulent Channel Flow Problem","year":2009,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part A Applications","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Turbulence; Mechanics; Large eddy simulation; K-epsilon turbulence model; K-omega turbulence model; Advection; Turbulence modeling; Physics; Direct numerical simulation; Open-channel flow; Reynolds number; Reynolds stress equation model; Statistical physics; Thermodynamics","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":[0.0005018014,0.0005794435,0.0004909213,0.0002493381,0.0003196494,0.0006122085,0.0007864746,0.0006029363,0.001091372],"category_scores_gemma":[0.001376324,0.0001694938,0.0004563444,0.0002370447,0.0003699492,0.0005325411,0.0005651803,0.0004203644,0.0002572685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005531088,"about_ca_system_score_gemma":0.0009533751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009388,"about_ca_topic_score_gemma":0.004371247,"domain_scores_codex":[0.9997687,0.00006796146,0.00002643888,0.00003570201,0.00007106343,0.00003018344],"domain_scores_gemma":[0.9993169,0.0002695316,0.00005951938,0.0001103441,0.0001934173,0.00005016649],"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":[0.00009409282,0.0000748118,0.00335494,0.00003650782,0.00001099394,0.00006807834,0.00002456579,0.9852846,0.005897255,0.00152892,0.0002574152,0.003367694],"study_design_scores_gemma":[0.00001443256,0.00004432707,0.0005791027,0.000002400123,0.000001751876,0.00000831531,0.00000736782,0.9973793,0.001581657,0.0001444557,0.0002324232,0.000004501527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145173,0.0001401308,0.07087546,0.0002148264,0.00007515571,0.00008570814,0.001114215,0.0007613156,0.01221599],"genre_scores_gemma":[0.980005,0.00008535844,0.01699012,0.00002866546,0.000009466262,0.00006037795,0.0009525606,0.00005793874,0.001810492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01009388,"threshold_uncertainty_score":0.02007025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171012352101775,"score_gpt":0.2365733550700329,"score_spread":0.2148632315490151,"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."}}