{"id":"W2333043140","doi":"10.2514/6.2012-654","title":"Influence of wind direction in the downscaling of wind speeds from numerical weather prediction","year":2012,"lang":"en","type":"article","venue":"50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"Science Foundation Ireland","keywords":"Downscaling; Meteorology; Wind speed; Environmental science; Numerical weather prediction; Wind direction; Wind power; Atmospheric sciences; Geology; Geography; Engineering; Precipitation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012228,0.0004640133,0.0003036457,0.0002874597,0.0002305421,0.0005439462,0.000313145,0.0002649571,0.0005789447],"category_scores_gemma":[0.008364333,0.0002336933,0.0003367612,0.0002874523,0.0002098679,0.0007545883,0.0003672081,0.0006795083,0.0001678813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988998,"about_ca_system_score_gemma":0.0004745531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008332874,"about_ca_topic_score_gemma":0.01198971,"domain_scores_codex":[0.9995715,0.0001257585,0.00005068471,0.00007156106,0.0001447765,0.00003577608],"domain_scores_gemma":[0.9981446,0.0008653243,0.0001787723,0.0002439285,0.0005383079,0.0000290624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004020203,0.0001332512,0.03191456,0.0001748643,0.0001212091,0.0001703475,0.0003841281,0.5954228,0.0348964,0.001726266,0.0008455858,0.3338085],"study_design_scores_gemma":[0.00003477144,0.0001502591,0.02486472,0.00004171642,0.00004472882,0.00005756608,0.00007387558,0.9455124,0.02627761,0.000663044,0.002239983,0.00003934038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6608593,0.0006385722,0.3315146,0.0003669768,0.0002961395,0.00009772958,0.000251668,0.0008107466,0.005164324],"genre_scores_gemma":[0.9032822,0.00023806,0.09532618,0.00005713392,0.00004251635,0.00003014464,0.0002345148,0.0001326925,0.0006564758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008332874,"threshold_uncertainty_score":0.01656878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326363643773904,"score_gpt":0.2502871826710755,"score_spread":0.2270235462333364,"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."}}