{"id":"W2016369147","doi":"10.1002/fld.587","title":"Evaluation of one‐ and two‐equation low‐<i>Re</i> turbulence models. Part II—Vortex‐generator jet and diffusing S‐duct flows","year":2003,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Research Council Canada","keywords":"Turbulence; Mechanics; K-epsilon turbulence model; Vortex; Reynolds-averaged Navier–Stokes equations; Curvature; Physics; Reynolds stress; Computational fluid dynamics; Duct (anatomy); Turbulence modeling; Classical mechanics; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003314134,0.0001921513,0.0002918353,0.0002217221,0.00008804785,0.00008389196,0.0001558638,0.0000879455,0.00005032456],"category_scores_gemma":[0.0007228263,0.0001853575,0.00008258825,0.000152713,0.00004102117,0.0003459554,0.0000427808,0.000240324,4.002372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004348,"about_ca_system_score_gemma":0.00006015819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009939449,"about_ca_topic_score_gemma":0.000004646305,"domain_scores_codex":[0.9979155,0.0003246611,0.0006254099,0.0002311845,0.0006860993,0.0002171309],"domain_scores_gemma":[0.9989268,0.0002627818,0.00009716769,0.0001148137,0.0004855895,0.0001127991],"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":[0.00004836634,0.0001442485,0.0003931845,0.00003743244,0.0002042655,0.000002449131,0.0003789556,0.8210161,0.02367243,0.01021369,0.00009192539,0.1437969],"study_design_scores_gemma":[0.00126594,0.00006720247,0.0001291207,0.0001093881,0.00007280905,0.0000411586,0.00001703977,0.9547305,0.002897462,0.03999064,0.0004955941,0.0001831664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3903838,0.001935092,0.6048256,0.00008955286,0.00220838,0.0002100363,0.000017693,0.00001916314,0.000310655],"genre_scores_gemma":[0.6771532,0.0006719575,0.3217942,0.00005100558,0.0002441149,0.00003229958,0.000008516464,0.00003236449,0.00001239236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2867693,"threshold_uncertainty_score":0.7558661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07146798373965993,"score_gpt":0.3616289317369706,"score_spread":0.2901609479973107,"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."}}