{"id":"W2155462400","doi":"10.1177/0954410012453539","title":"Numerical modelling of a low Reynolds number plunging airfoil flow field characteristics","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Strouhal number; Reynolds number; Freestream; Airfoil; Mechanics; Physics; Lift coefficient; Lift (data mining); Pitching moment; Drag; Classical mechanics; Mathematics; Aerodynamics; Angle of attack; Turbulence; Computer science","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":[0.0001974435,0.0003754381,0.0003565181,0.0004218436,0.0003444717,0.0008926229,0.000556564,0.0007516999,0.001152771],"category_scores_gemma":[0.0007740607,0.0001450883,0.0003410087,0.0002525701,0.0005756735,0.0003826264,0.0002894384,0.0004902827,0.0001737929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004809907,"about_ca_system_score_gemma":0.0005014225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006298801,"about_ca_topic_score_gemma":0.001996108,"domain_scores_codex":[0.9999053,0.00001889547,0.000005992323,0.00001582359,0.00002970901,0.00002427157],"domain_scores_gemma":[0.9997438,0.0001148203,0.00004250657,0.00002390791,0.00005192367,0.00002300741],"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":[0.0000634786,0.00005740034,0.001796604,0.0000510498,0.00000583647,0.0002064855,0.00007978981,0.9623095,0.02763455,0.002501322,0.000166554,0.005127317],"study_design_scores_gemma":[0.000005275629,0.00002457298,0.0005553766,0.000002869615,0.000001787902,0.00001857943,0.000008804182,0.9974074,0.00159817,0.0001801047,0.0001928009,0.000004316722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8375293,0.0002331892,0.1463377,0.0002359944,0.00006014986,0.00009801686,0.0002056537,0.0004923638,0.01480763],"genre_scores_gemma":[0.9872817,0.00006736837,0.01078595,0.00001246357,0.000007051138,0.00003471883,0.00006163608,0.00001710883,0.001731914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006298801,"threshold_uncertainty_score":0.01252431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008059619480221089,"score_gpt":0.1862089410821842,"score_spread":0.1781493216019632,"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."}}