{"id":"W1918316430","doi":"10.1002/fld.2651","title":"Validating the URANS shear stress transport <i>γ</i> −<i>Re</i><sub>θ</sub> model for low‐Reynolds‐number external aerodynamics","year":2011,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Aerodynamics; Turbulence; Reynolds number; Airfoil; Mechanics; Reynolds stress equation model; Computational fluid dynamics; Laminar flow; Reynolds-averaged Navier–Stokes equations; Physics; Reynolds stress; Shear stress; Mathematics; K-epsilon turbulence model; K-omega turbulence model","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001372354,0.0003530982,0.000393777,0.0001482098,0.000159601,0.0001125713,0.0009570122,0.0001754978,0.00004126042],"category_scores_gemma":[0.000166401,0.0002894497,0.0004889316,0.0001700544,0.0000718376,0.0003245264,0.00005128431,0.000638529,0.000005126098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002725211,"about_ca_system_score_gemma":0.00005583095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001680222,"about_ca_topic_score_gemma":0.00001431593,"domain_scores_codex":[0.9975687,0.0001078471,0.0009638714,0.0003200058,0.0004804813,0.0005591287],"domain_scores_gemma":[0.9986628,0.0005108461,0.0001194011,0.0002404539,0.000290695,0.0001758237],"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":[0.0004219325,0.0003120464,0.002599162,0.000097561,0.0004348492,0.00004335512,0.001802219,0.8576297,0.05386569,0.007586343,0.0004721119,0.07473508],"study_design_scores_gemma":[0.001020257,0.00005348134,0.0004464118,0.0001317415,0.000054986,0.00008820146,0.00004292914,0.9718174,0.01172426,0.01398447,0.0002926773,0.0003432005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09959187,0.0001335905,0.8955141,0.0001365755,0.003512339,0.0003823713,0.0002162409,0.0000808254,0.0004320223],"genre_scores_gemma":[0.4586274,0.0002766146,0.5399248,0.0002780226,0.0005225511,0.0001508202,0.00003210038,0.0001239539,0.00006369217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3590356,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613108216363869,"score_gpt":0.3267662760974144,"score_spread":0.2906351939337757,"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."}}