{"id":"W2093863777","doi":"10.1063/1.1808773","title":"Linear feedback stabilization of laminar vortex shedding based on a point vortex model","year":2004,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris","keywords":"Linear-quadratic-Gaussian control; Physics; Laminar flow; Control theory (sociology); Vortex; Wake; Vortex shedding; Mechanics; Reynolds number; Flow (mathematics); Controllability; Turbulence; Classical mechanics; Optimal control; Mathematics; Applied mathematics; Computer science; Mathematical optimization","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":[0.0002466356,0.0003067817,0.0003748133,0.0001743035,0.0002089648,0.000334697,0.0003786264,0.0002913187,0.0007460858],"category_scores_gemma":[0.0004599427,0.0001449619,0.0002368486,0.0001028034,0.0004193954,0.0003026322,0.0003886086,0.0002958855,0.0001118573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872536,"about_ca_system_score_gemma":0.0003343758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578543,"about_ca_topic_score_gemma":0.001664936,"domain_scores_codex":[0.9999021,0.00002987544,0.000003910908,0.00001785505,0.00003029328,0.00001589223],"domain_scores_gemma":[0.9998556,0.00005007606,0.0000391555,0.000009998196,0.00003577301,0.000009308605],"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":[0.0001048618,0.00003051189,0.0003964102,0.00005931667,0.00002137024,0.00007788371,0.00007835658,0.9610564,0.0213236,0.004935849,0.000228269,0.01168726],"study_design_scores_gemma":[0.00000620839,0.00004196012,0.00006431434,0.000001530197,0.000002345314,0.000003234864,0.00000364063,0.9982333,0.000964769,0.0005835066,0.000093252,0.000001947151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3209163,0.0002796467,0.6722021,0.0002511836,0.00006138712,0.0000638274,0.00005731691,0.0005616514,0.005606736],"genre_scores_gemma":[0.991869,0.0000637452,0.006909769,0.00001471191,0.000008537084,0.00003815642,0.00001683241,0.000007813192,0.001071507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002578543,"threshold_uncertainty_score":0.005127072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902016769228093,"score_gpt":0.2593502779940569,"score_spread":0.2403301103017759,"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."}}