{"id":"W2165147401","doi":"10.1002/we.544","title":"Wake impacts on downstream wind turbine performance and yaw alignment","year":2012,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wake; Turbine; Nacelle; Wind power; Aerodynamics; Marine engineering; Wind speed; Wind direction; Environmental science; Offshore wind power; Meteorology; Wind profile power law; Wake turbulence; Turbulence; Aerospace engineering; Engineering; Physics; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001346324,0.0002088246,0.0001583019,0.0001133309,0.00008687266,0.00003864184,0.00009796126,0.00008504392,0.0001413023],"category_scores_gemma":[0.000008563406,0.0001723637,0.00002963868,0.0001297176,0.00003315164,0.0002301532,0.00005444742,0.0001118822,0.00007051901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102498,"about_ca_system_score_gemma":0.0000191238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007213352,"about_ca_topic_score_gemma":0.000006586092,"domain_scores_codex":[0.9986458,0.00001402648,0.0001583633,0.0001495959,0.0002796168,0.0007525567],"domain_scores_gemma":[0.9993041,0.00002390601,0.000014834,0.0002091397,0.00001560095,0.0004324778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004419967,0.001011075,0.04613473,0.000773136,0.001229453,0.0001672576,0.006090941,0.325368,0.02649336,0.0193077,0.1560999,0.4168824],"study_design_scores_gemma":[0.001529042,0.0003648637,0.1612106,0.0001473138,0.00001961621,0.00007872332,0.0001835073,0.005376879,0.1031082,0.00008329741,0.7269475,0.0009503833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468443,0.0006417316,0.00003276123,0.00008390196,0.0002543949,0.00003778758,0.000003604574,0.0001144235,0.05198704],"genre_scores_gemma":[0.9967557,0.0005929659,0.0001359254,0.0001933434,0.0003945639,0.000008357944,0.00002391814,0.00003259346,0.001862604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5708476,"threshold_uncertainty_score":0.7028788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869554370904662,"score_gpt":0.1991562492904073,"score_spread":0.1904607055813607,"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."}}