{"id":"W4416602937","doi":"10.48550/arxiv.2505.22788","title":"Time-varying wind-turbine wakes at high Reynolds numbers","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Andlinger Center for Energy and the Environment, Princeton University; Princeton University","keywords":"Wake; Strouhal number; Thrust; Reynolds number; Turbine; Vortex shedding; Aerodynamics; Wake turbulence; Rotor (electric)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313644,0.0001735038,0.0001728116,0.0001168968,0.0002041527,0.0002552864,0.0001302815,0.000153956,0.0009780118],"category_scores_gemma":[0.0003845999,0.0001250344,0.000127307,0.00007952158,0.0003399672,0.0003398168,0.0002246401,0.0002745313,0.0001844774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009340922,"about_ca_system_score_gemma":0.00009947415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000306963,"about_ca_topic_score_gemma":0.000519009,"domain_scores_codex":[0.9999442,0.00000958643,0.000003675501,0.00001087638,0.00001838399,0.00001328357],"domain_scores_gemma":[0.9998333,0.00005768875,0.00003972808,0.00002581706,0.0000245897,0.00001885512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000495416,0.0003364601,0.01704952,0.0001316471,0.00003537728,0.0008545057,0.000279281,0.08485942,0.871475,0.003161305,0.0004271372,0.02089488],"study_design_scores_gemma":[0.0001743298,0.001813179,0.1351747,0.00002788687,0.00004272617,0.0004742923,0.0004209513,0.6389472,0.2145472,0.006000661,0.002312774,0.00006411218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866456,0.00004964999,0.0119348,0.00002627833,0.00001728646,0.00001418337,0.00002952378,0.00009133641,0.001191327],"genre_scores_gemma":[0.9982045,0.00002342503,0.001424436,0.000007406413,0.000003039479,0.000008256086,0.00002754799,0.000007450094,0.0002938671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009780118,"threshold_uncertainty_score":0.003271818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917378319904316,"score_gpt":0.236460781814389,"score_spread":0.2172869986153458,"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."}}