{"id":"W2325433512","doi":"10.2514/6.2015-2467","title":"Modeling of Saw-tooth DBD Plasma Actuators for Flow Control Simulations","year":2015,"lang":"en","type":"article","venue":"","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Plasma actuator; Actuator; Flow control (data); Plasma; Flow (mathematics); Computer science; Materials science; Control (management); Control theory (sociology); Mechanics; Dielectric barrier discharge; Physics; Artificial intelligence; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0001166645,0.0001269024,0.0002313124,0.00007244856,0.00002582238,0.00001595643,0.0001070025,0.00009029572,0.00001193237],"category_scores_gemma":[0.0001147014,0.0001193486,0.00007763803,0.00007604733,0.00001263504,0.0001213568,0.000008163654,0.0000683617,0.000009181435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050652,"about_ca_system_score_gemma":0.0000304761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009937772,"about_ca_topic_score_gemma":0.0001009835,"domain_scores_codex":[0.9993011,0.000007702187,0.0002619619,0.0001047468,0.0001160114,0.0002085114],"domain_scores_gemma":[0.9994254,0.0001669807,0.00001781523,0.0001653248,0.000118484,0.0001060025],"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":[0.0000319221,0.00001154638,0.00005861443,0.00001556729,0.00005821427,2.508665e-7,0.00008983875,0.9959291,0.0006804468,0.001222324,0.0002051606,0.00169702],"study_design_scores_gemma":[0.002007963,0.00002969261,0.000004800665,0.000006822946,0.00003662687,8.238229e-7,0.0000416709,0.9965441,0.0001496303,0.0007367122,0.0003070194,0.0001341281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2047151,0.00002424435,0.792315,0.00003072253,0.0003069278,0.0002270159,0.0001204366,0.0001749036,0.002085667],"genre_scores_gemma":[0.9784284,0.000002646874,0.02130945,0.00002549627,0.00007089795,0.00001734757,0.00002317965,0.00003136434,0.00009126295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7737132,"threshold_uncertainty_score":0.4866894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964706375373352,"score_gpt":0.2216322933077502,"score_spread":0.2019852295540167,"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."}}