{"id":"W4237750401","doi":"10.2514/6.2003-1185","title":"Numerical Investigations of Nacelle Anemometry for Horizontal Axis Wind Turbines","year":2003,"lang":"en","type":"article","venue":"41st Aerospace Sciences Meeting and Exhibit","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Nacelle; Marine engineering; Horizontal axis; Wind power; Aerospace engineering; Vertical axis; Computational fluid dynamics; Environmental science; Mechanics; Engineering; Computer science; Geology; Turbine; Mechanical engineering; Acoustics; Physics; Electrical engineering; Engineering drawing; Structural engineering","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":[0.0004482268,0.0003167786,0.0003628914,0.0005310086,0.0006657001,0.0006344229,0.0003947938,0.0008622081,0.001021096],"category_scores_gemma":[0.003783645,0.0002326382,0.0002433593,0.0005861575,0.0006306081,0.0007190165,0.0005494501,0.0004497281,0.00010563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834528,"about_ca_system_score_gemma":0.0004388422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005871091,"about_ca_topic_score_gemma":0.005048949,"domain_scores_codex":[0.9997684,0.00007027818,0.00001246447,0.00002495179,0.00009286554,0.0000309758],"domain_scores_gemma":[0.9983333,0.00095901,0.0001928265,0.0001246011,0.0003253291,0.0000649479],"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":[0.0002091357,0.0001475624,0.01365401,0.00008475552,0.00002445276,0.0003523763,0.0002254814,0.9486713,0.01728934,0.003905484,0.0005655624,0.0148706],"study_design_scores_gemma":[0.00001243657,0.0000514667,0.003888139,0.000007249034,0.000004145813,0.00004277748,0.00007375667,0.9942015,0.001181231,0.0002956117,0.0002317624,0.000009912224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768708,0.0003310404,0.01214968,0.0002501473,0.0000415248,0.00003512015,0.0000783261,0.0001014815,0.01014182],"genre_scores_gemma":[0.9960505,0.00007495872,0.003064748,0.00001447457,0.000006490314,0.000007262793,0.00002723221,0.00001265848,0.0007416701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005871091,"threshold_uncertainty_score":0.01167381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494252538774295,"score_gpt":0.2377327418886224,"score_spread":0.2127902165008794,"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."}}