{"id":"W4281741960","doi":"10.1088/1742-6596/2265/3/032068","title":"Model-free control of the dynamic lift of a wind turbine blade section: experimental results","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Lift (data mining); Aerodynamics; Wind tunnel; Turbine blade; Turbine; Engineering; Trailing edge; Control theory (sociology); Computer science; Marine engineering; Mechanical engineering; Structural engineering; Aerospace engineering; Control (management); Artificial intelligence","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":[0.0004398214,0.0004401538,0.0004217628,0.0002858993,0.0003902743,0.0004242114,0.000421235,0.0006344283,0.001851752],"category_scores_gemma":[0.0006133295,0.000186849,0.0003558538,0.0001542024,0.0004752844,0.0002756184,0.0004243442,0.0004257484,0.000272587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095498,"about_ca_system_score_gemma":0.0002298858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349674,"about_ca_topic_score_gemma":0.0009339133,"domain_scores_codex":[0.9997219,0.00003255417,0.00002676503,0.00004621897,0.0001141037,0.00005844492],"domain_scores_gemma":[0.9994501,0.000155099,0.0001007406,0.0001113716,0.0001363852,0.00004613727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001421798,0.002154093,0.001747316,0.0007548688,0.00007250165,0.0003199672,0.0003762446,0.1007091,0.8670249,0.0009405932,0.0004792791,0.02399941],"study_design_scores_gemma":[0.0004073883,0.01130875,0.005591459,0.0000426408,0.00005177014,0.0001034113,0.0001677657,0.2510824,0.7290896,0.0002681348,0.001812357,0.00007424648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838648,0.0001629649,0.01354485,0.00005271805,0.00005880271,0.00009095026,0.0001470691,0.000273609,0.001804157],"genre_scores_gemma":[0.9975793,0.00004180258,0.001597401,0.000007714411,0.000004196465,0.00004726294,0.00005043013,0.00001002922,0.0006619313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001851752,"threshold_uncertainty_score":0.006194651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00974773318931752,"score_gpt":0.2015375877123862,"score_spread":0.1917898545230687,"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."}}