{"id":"W2082453158","doi":"10.1016/j.jfluidstructs.2007.11.005","title":"Self-sustained aeroelastic oscillations of a NACA0012 airfoil at low-to-moderate Reynolds numbers","year":2008,"lang":"en","type":"article","venue":"Journal of Fluids and Structures","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Aeroelasticity; Chord (peer-to-peer); Wake; Reynolds number; Physics; Reduced frequency; Laminar flow; Mechanics; Turbulence; Trailing edge; Angle of attack; Leading edge; Lift (data mining); Aerodynamics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0000832799,0.0001286819,0.000290972,0.0002271067,0.0001207513,0.00002315188,0.00008543196,0.00006994566,0.00006276964],"category_scores_gemma":[0.00003773585,0.000105161,0.0001127856,0.0002317909,0.00003490485,0.0001127673,0.00002262569,0.0001172621,0.000001180259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006604646,"about_ca_system_score_gemma":0.00003875613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005659853,"about_ca_topic_score_gemma":0.00001851846,"domain_scores_codex":[0.9990901,0.00001903807,0.0004430748,0.00008225211,0.0002232408,0.0001423424],"domain_scores_gemma":[0.99945,0.00003871175,0.00008260003,0.0001063361,0.0001763656,0.0001460265],"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":[0.0003762831,0.0000711211,0.01173938,0.0004449891,0.001336471,0.0001284589,0.007892811,0.807902,0.144726,0.01018214,0.01407979,0.001120599],"study_design_scores_gemma":[0.001952634,0.0003789866,0.05747465,0.00008584854,0.0002930819,0.0006911487,0.000424929,0.9253252,0.009086245,0.001419326,0.002310359,0.000557588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872949,0.0004190401,0.01148634,0.00009690505,0.0001647238,0.00004656771,0.00001064635,0.00002288833,0.000457978],"genre_scores_gemma":[0.9933984,0.0004001364,0.005931752,0.00004541568,0.00008781388,6.059167e-7,0.000002182439,0.00001568592,0.0001180168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1356398,"threshold_uncertainty_score":0.4288341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004915656566909369,"score_gpt":0.2022136751496614,"score_spread":0.197298018582752,"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."}}