{"id":"W2120094579","doi":"10.1260/0309-524x.39.2.183","title":"Turbine Power Production Sensitivity to Coastal Sheared and Turbulent Inflows","year":2015,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbine; Environmental science; Wind shear; Turbulence; Meteorology; Shore; Wind power; Wind speed; Marine engineering; Turbulence kinetic energy; Sea breeze; Range (aeronautics); Geology; Atmospheric sciences; Oceanography; Engineering; Geography; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005212846,0.0002442372,0.0002858091,0.000267801,0.0002775153,0.000473138,0.0001896874,0.0002000842,0.0009116582],"category_scores_gemma":[0.002137233,0.0002267591,0.000167577,0.0004552786,0.0003393097,0.0002600136,0.0003249017,0.0002168606,0.0003132513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838953,"about_ca_system_score_gemma":0.0001810328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007247399,"about_ca_topic_score_gemma":0.01303508,"domain_scores_codex":[0.9995149,0.00006368984,0.00003790403,0.0001297889,0.0001817827,0.00007186222],"domain_scores_gemma":[0.9985003,0.0005092797,0.0002923944,0.0002004534,0.0004222136,0.00007535249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001465063,0.000167597,0.6232045,0.0001345915,0.000115581,0.0005854924,0.0005857074,0.02019673,0.3316784,0.0001056102,0.0003657153,0.021395],"study_design_scores_gemma":[0.000009695638,0.000458312,0.9571563,0.000004161429,0.00001623376,0.0001113031,0.0001155095,0.00402338,0.03777847,0.00001782684,0.0002975049,0.0000113608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982926,0.00002128487,0.0007552946,0.000006833804,0.000001628629,0.000009440566,0.0001940717,0.0000196675,0.0006991629],"genre_scores_gemma":[0.9992958,0.00001884416,0.0002032956,0.000004913665,8.507214e-7,0.000006314604,0.0002463523,0.000007401377,0.0002161162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007247399,"threshold_uncertainty_score":0.01441044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100030856641663,"score_gpt":0.1974506378720125,"score_spread":0.1864503293055959,"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."}}