{"id":"W4379135155","doi":"10.47176/jafm.16.08.1718","title":"Assessment of Turbulence Models for Unsteady Separated Flows Past an Oscillating NACA 0015 Airfoil in Deep Stall","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Direction Générale de la Recherche Scientifique et du Développement Technologique; Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Stall (fluid mechanics); Airfoil; Mechanics; Pitching moment; Turbulence; Chord (peer-to-peer); NACA airfoil; Physics; Leading edge; Flow separation; Aerodynamics; Aerodynamic center; Computational fluid dynamics; Reynolds number; Angle of attack; Geology; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001059611,0.0002636706,0.0005599971,0.000424625,0.00005054654,0.00003930581,0.0003400781,0.0001799035,0.000009843704],"category_scores_gemma":[0.00001361688,0.0002581904,0.0001386554,0.0006077738,0.000008697062,0.0002430411,0.00005854529,0.000363863,0.000003100099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207753,"about_ca_system_score_gemma":0.00009672735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003208735,"about_ca_topic_score_gemma":0.00002480767,"domain_scores_codex":[0.9978335,0.00002111456,0.001018431,0.000211976,0.0004787481,0.0004362066],"domain_scores_gemma":[0.9990445,0.00009436689,0.0002309785,0.0002609494,0.0002100468,0.0001591992],"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":[0.00004669736,0.00005219657,0.000004948229,0.0001301353,0.00005802,0.00001148289,0.0002986485,0.8866144,0.09909424,0.0121949,0.00009922319,0.001395061],"study_design_scores_gemma":[0.001234993,0.0001911532,0.00003806076,0.0000951049,0.00003657293,0.00000898588,0.0002099405,0.9900141,0.001044902,0.006743234,0.0001381174,0.0002447947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755941,0.0001245559,0.2219817,0.000027074,0.0006933145,0.0004886635,0.00006259533,0.0001137897,0.0009141852],"genre_scores_gemma":[0.9810229,0.0003062459,0.01836877,0.00002046712,0.0001340905,0.000023772,0.00003870048,0.0000764908,0.000008582539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2054288,"threshold_uncertainty_score":0.999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560120957497315,"score_gpt":0.2504902952986663,"score_spread":0.2348890857236931,"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."}}