{"id":"W2317727802","doi":"10.1115/imece2010-39728","title":"Low Reynolds Number Flow Control Over an Airfoil Using Synthetic Jet Actuators","year":2010,"lang":"en","type":"article","venue":"","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Airfoil; Synthetic jet; Reynolds number; Flow visualization; Mechanics; Boundary layer; Vortex; Jet (fluid); Flow separation; Vortex generator; Wind tunnel; Turbulence; Physics; Optics; Flow (mathematics); Actuator; Engineering; Electrical engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001807837,0.0002823161,0.0003037411,0.00006356864,0.00007939484,0.00009292037,0.0002337072,0.0002652374,0.001010711],"category_scores_gemma":[0.00005222119,0.0002528319,0.0001103145,0.0001194212,0.00005522553,0.0003324833,0.00001962758,0.0004285055,0.0002195626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006128906,"about_ca_system_score_gemma":0.00002563623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004346601,"about_ca_topic_score_gemma":0.0004893674,"domain_scores_codex":[0.9988065,0.00002364054,0.0002638842,0.0002526347,0.0001953877,0.0004579619],"domain_scores_gemma":[0.9991087,0.0000993134,0.00002727883,0.000511656,0.00004322697,0.0002098751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001492283,0.0003996432,0.01820934,0.000176552,0.0005804506,0.0001393515,0.0005667093,0.2368159,0.6684746,0.008127542,0.002136891,0.06422387],"study_design_scores_gemma":[0.0008381038,0.00001326112,0.001035927,0.000013315,0.00004643971,0.00004004136,0.00001159221,0.9942858,0.002044865,0.0001590402,0.001161512,0.0003501094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285303,0.000006017791,0.06137741,0.00002434972,0.001674054,0.000142396,0.00003435013,0.000565938,0.007645173],"genre_scores_gemma":[0.9919167,0.000005597068,0.007413107,0.0001445549,0.0002535118,0.00001004005,0.00000798876,0.00008078064,0.0001677177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7574699,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004277762040404234,"score_gpt":0.2062978703003101,"score_spread":0.2020201082599059,"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."}}