{"id":"W2326541033","doi":"10.2514/6.2010-828","title":"Development of an Empirical Obstacle Wake Model for Small Wind Turbine Micrositing","year":2010,"lang":"en","type":"article","venue":"48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Centres of Excellence; University of Guelph","keywords":"Wake; Obstacle; Turbine; Wind power; Marine engineering; Computer science; Aerospace engineering; Environmental science; Meteorology; Engineering; Physics; Electrical engineering; Geography","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001413287,0.0003360178,0.0003220157,0.00005936336,0.003239907,0.0002031059,0.0005636783,0.0001331608,0.0000144257],"category_scores_gemma":[0.000177194,0.0002465358,0.0001012266,0.0004528915,0.0008651056,0.0005962999,0.0006316015,0.0002890539,0.000006961975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007633211,"about_ca_system_score_gemma":0.00009884283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435884,"about_ca_topic_score_gemma":0.002151266,"domain_scores_codex":[0.9975032,0.00005338349,0.0004393859,0.0007180899,0.0004843203,0.000801643],"domain_scores_gemma":[0.9988871,0.0002180251,0.0003278107,0.0002855471,0.00003687108,0.0002446717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005166524,0.0001125899,0.02027955,0.00002225779,0.00001720063,6.321204e-7,0.009412182,0.007318451,0.9510834,0.0002967412,0.001412895,0.00999249],"study_design_scores_gemma":[0.002988865,0.0015734,0.01561265,0.000524991,0.0001693025,0.00006884969,0.02247294,0.3087679,0.6365942,0.003914312,0.005301247,0.002011358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983954,0.00006748175,0.0098922,0.004686712,0.0003256596,0.0004677703,0.00001227085,0.0000825431,0.0005113648],"genre_scores_gemma":[0.8026565,0.000008167341,0.1965882,0.0001984117,0.0001418898,0.00002121866,0.000006394966,0.0000229615,0.0003561751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3144891,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428090382244564,"score_gpt":0.2870601494979141,"score_spread":0.2527792456754684,"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."}}