{"id":"W2298596323","doi":"10.1002/we.1980","title":"Effects of an escarpment on flow parameters of relevance to wind turbines","year":2016,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wind Energy Institute of Canada","funders":"National Science Foundation","keywords":"Escarpment; Turbine; Terrain; Turbulence; Wind power; Meteorology; Turbulence kinetic energy; Flow (mathematics); Wind speed; Environmental science; Marine engineering; Geology; Geography; Mechanics; Engineering; Physics; Geomorphology; Cartography; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007825581,0.0001524045,0.0002217904,0.0001462283,0.00001658529,0.000005918115,0.0001778141,0.00006154435,0.00001926825],"category_scores_gemma":[0.00006687298,0.0001067218,0.00004944546,0.0001659434,0.00003176019,0.00007790299,0.00003417201,0.00003877889,0.00001285321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006294001,"about_ca_system_score_gemma":0.00002368651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000635379,"about_ca_topic_score_gemma":0.00001773365,"domain_scores_codex":[0.9989721,0.00002854041,0.0002129391,0.0001850493,0.0002929048,0.000308495],"domain_scores_gemma":[0.999325,0.0001573223,0.00002326158,0.0002605215,0.00003813793,0.0001957744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002030561,0.0001423263,0.000102953,0.0001904075,0.0001546112,0.00002970759,0.0003291473,0.4124639,0.2656987,0.0004793865,0.002381609,0.3178242],"study_design_scores_gemma":[0.0006123659,0.0004028484,0.004204332,0.0002654193,0.000005385704,0.000001499118,0.000009079656,0.001380261,0.9843129,0.0001956331,0.008412322,0.0001979342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967952,0.0001131687,0.001447905,0.00008135371,0.0002591778,0.00006453162,0.000006427691,0.00005655812,0.001175643],"genre_scores_gemma":[0.995382,0.00008668999,0.003957461,0.00006638043,0.00006241613,0.00001363386,0.000003417276,0.0000284337,0.0003995888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7186142,"threshold_uncertainty_score":0.4351987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005595346156278441,"score_gpt":0.1979909325253614,"score_spread":0.192395586369083,"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."}}