{"id":"W2085100986","doi":"10.1115/wind2003-1185","title":"Numerical Investigations of Nacelle Anemometry for Horizontal Axis Wind Turbines","year":2003,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Nacelle; Turbine; Anemometer; Turbulence; Mechanics; Marine engineering; Aerospace engineering; Meteorology; Environmental science; Engineering; Physics","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":[0.0004073717,0.0002564559,0.0002837224,0.0003456094,0.0003391193,0.0002971743,0.0003647872,0.0004458517,0.0006317713],"category_scores_gemma":[0.002421166,0.0001146267,0.0001665433,0.0002976549,0.0004872752,0.0003777609,0.0003370611,0.0003003892,0.00008289967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197234,"about_ca_system_score_gemma":0.0002597064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709938,"about_ca_topic_score_gemma":0.001251221,"domain_scores_codex":[0.9997991,0.0000590688,0.00001210569,0.00002339372,0.00008992772,0.0000162829],"domain_scores_gemma":[0.9989578,0.0004996293,0.0001896712,0.00009350667,0.0002179266,0.00004147521],"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":[0.0001740682,0.0001302718,0.00883132,0.0002332801,0.00002619625,0.0003987708,0.000340245,0.8734658,0.07258912,0.01112046,0.0004661736,0.03222435],"study_design_scores_gemma":[0.000008313136,0.00006677325,0.00100631,0.000008203618,0.000003271643,0.00005328407,0.0000369568,0.9931971,0.004495698,0.0004144839,0.0007015929,0.000008073413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7497141,0.0007251645,0.2408744,0.0001989742,0.00009319447,0.00009494479,0.00009019359,0.0002911611,0.0079178],"genre_scores_gemma":[0.9491602,0.0001991926,0.04953545,0.00001568725,0.00001193923,0.00003778329,0.00004468855,0.00002160457,0.0009733367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001709938,"threshold_uncertainty_score":0.003399968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453470329369118,"score_gpt":0.2238388280587304,"score_spread":0.2093041247650392,"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."}}