{"id":"W2751387434","doi":"10.1002/we.2138","title":"Tailoring incoming shear and turbulence profiles for lab‐scale wind turbines","year":2017,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; European Research Council; Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust","keywords":"Turbulence; Turbulence kinetic energy; Mechanics; K-epsilon turbulence model; Shear (geology); Wind speed; Wind tunnel; Shear flow; Shear velocity; Physics; Meteorology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001058502,0.0001375655,0.0001529034,0.00001554669,0.0008324807,0.00009797685,0.0002393745,0.00004973174,0.00007275256],"category_scores_gemma":[0.00004517549,0.0001131978,0.00003819683,0.00002728063,0.0002653251,0.0003171859,0.0003849012,0.00004888947,0.00001590277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462212,"about_ca_system_score_gemma":0.000004149632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006757852,"about_ca_topic_score_gemma":0.0001520637,"domain_scores_codex":[0.9991669,0.000009772817,0.0001162751,0.0003036436,0.000126642,0.0002767851],"domain_scores_gemma":[0.9995565,0.00003525679,0.00006825519,0.0002598205,0.000006256895,0.00007385983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001816426,0.0002653044,0.6259356,0.0002113908,0.0001388797,0.00004142776,0.006273329,0.007607168,0.08004913,0.001741123,0.02054084,0.2570142],"study_design_scores_gemma":[0.001368337,0.000213929,0.7102566,0.0001865751,0.00004742134,0.00001703887,0.0007328995,0.004598583,0.03735558,0.002547015,0.2417979,0.0008781062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920176,0.0001500916,0.0001045502,0.0009108364,0.0002203609,0.00007889749,0.000009204093,0.0000283781,0.006480091],"genre_scores_gemma":[0.9948905,0.00005558104,0.001537734,0.0001531514,0.0003197097,0.00001377825,0.000002006134,0.00001432697,0.003013231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256136,"threshold_uncertainty_score":0.6402853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351652534909554,"score_gpt":0.2268327882851903,"score_spread":0.2133162629360948,"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."}}