{"id":"W2037599563","doi":"10.1115/dscc2014-6294","title":"Linear Parameter-Varying Control of a Wing-Section Stall Flutter","year":2014,"lang":"en","type":"article","venue":"","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Flutter; Wing; Stall (fluid mechanics); Nonlinear system; Linearization; Lyapunov function; Jacobian matrix and determinant; Engineering; Computer science; Mathematics; Aerodynamics; Structural engineering; Physics; Control (management); Applied mathematics","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":[0.00009056935,0.00007837702,0.00013992,0.00004260593,0.00002432943,0.00001280427,0.00004720134,0.00005787147,0.0001673058],"category_scores_gemma":[0.00007052707,0.00007210977,0.00004665547,0.00005283118,0.00001361268,0.0001221049,0.000005259807,0.00008442436,0.00003068174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001065306,"about_ca_system_score_gemma":0.000003625328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001089525,"about_ca_topic_score_gemma":0.000008226722,"domain_scores_codex":[0.9995172,0.00002180225,0.0001821234,0.00007719883,0.0000814714,0.0001201896],"domain_scores_gemma":[0.9996375,0.000171769,0.00002285472,0.0001019674,0.00002960634,0.00003627332],"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":[0.00006479858,0.00004603253,0.001646664,0.0001234753,0.0001413684,8.013405e-7,0.0002740537,0.6042088,0.3837539,0.00189825,0.0006527521,0.007189176],"study_design_scores_gemma":[0.0007580445,0.00006449135,0.0006210079,0.00001085223,0.00001618057,0.00000110766,0.000007614013,0.9836754,0.01302254,0.0001061392,0.001630753,0.00008587057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1250436,0.00001064676,0.8706405,0.00005371403,0.0002254848,0.00007940739,0.00000225455,0.0001692314,0.003775209],"genre_scores_gemma":[0.9973125,0.000001517433,0.002188239,0.0002003127,0.0002163155,0.000007683393,0.000002297118,0.0000136134,0.00005756359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8722689,"threshold_uncertainty_score":0.2940551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008183972953641027,"score_gpt":0.1964363523141425,"score_spread":0.1882523793605015,"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."}}