{"id":"W3202271183","doi":"10.1007/s00348-021-03309-1","title":"Unsteady actuation and feedback control of the experimental fluidic pinball using genetic programming","year":2021,"lang":"en","type":"article","venue":"Experiments in Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Calgary","keywords":"Fluidics; Wake; Control theory (sociology); Reynolds number; Drag; Physics; Cylinder; Computer science; Flow control (data); Genetic programming; Reduction (mathematics); Mechanics; Aerospace engineering; Mathematics; Mechanical engineering; Control (management); Turbulence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032398,0.0003040154,0.0002947631,0.0001820551,0.0003911456,0.0006054712,0.000574099,0.0004439612,0.001773046],"category_scores_gemma":[0.000671156,0.0002033238,0.0001903988,0.0001555819,0.0007265779,0.0002576593,0.0004484768,0.0004904019,0.0001013103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005069618,"about_ca_system_score_gemma":0.0006380314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256143,"about_ca_topic_score_gemma":0.001598107,"domain_scores_codex":[0.9998485,0.00002643519,0.000005310389,0.00003209068,0.00005078043,0.00003684345],"domain_scores_gemma":[0.9997393,0.0001235755,0.00004190221,0.00002910084,0.00003111034,0.00003496826],"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":[0.0007456154,0.0003686055,0.00090971,0.0001320938,0.0000269241,0.0001946923,0.0001623871,0.6470163,0.315344,0.01003904,0.0004226634,0.0246379],"study_design_scores_gemma":[0.00005795301,0.0002133787,0.0003759661,0.000004721836,0.000005832697,0.00001268372,0.00002315808,0.9412385,0.05661108,0.0009694545,0.0004718928,0.00001533709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371053,0.0001155684,0.1543294,0.0003405409,0.0001437938,0.0001458112,0.00006715753,0.0003974377,0.007355006],"genre_scores_gemma":[0.9873191,0.00002986871,0.01157427,0.00001808604,0.000003624608,0.00004082634,0.00001284911,0.00001534003,0.0009859513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002256143,"threshold_uncertainty_score":0.005931497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215884118280644,"score_gpt":0.2389225857111016,"score_spread":0.2267637445282952,"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."}}