{"id":"W2060877164","doi":"10.1260/0309-524x.38.1.1","title":"An Operational Application of NWP Models in a Wind Power Forecasting Demonstration Experiment","year":2014,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Hydro-Québec; Environment and Climate Change Canada","funders":"Hydro-Québec; Government of Canada","keywords":"Wind speed; Wind power; Anemometer; Meteorology; Environmental science; Terrain; Mean squared error; Turbine; Marine engineering; Mathematics; Engineering; Statistics; Geography; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001544667,0.0006936574,0.0004796131,0.0003028977,0.0007430441,0.0005745389,0.000839904,0.00078577,0.001010893],"category_scores_gemma":[0.002641761,0.0002896887,0.0003463287,0.000504553,0.0003469126,0.0006303345,0.000404769,0.0008887825,0.000193702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684871,"about_ca_system_score_gemma":0.001643433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.271916,"about_ca_topic_score_gemma":0.2127767,"domain_scores_codex":[0.9996555,0.0001032017,0.00001568218,0.00007299544,0.00009867227,0.00005389754],"domain_scores_gemma":[0.9987472,0.0005588219,0.00005450946,0.000131465,0.0003830899,0.0001248023],"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":[0.0007354511,0.001141884,0.02396205,0.00007602516,0.00007538664,0.0002632324,0.0002543218,0.9203505,0.01021308,0.0007403052,0.002517312,0.03967042],"study_design_scores_gemma":[0.00006921148,0.0001979527,0.008196672,0.000002395198,0.000009812439,0.000007945749,0.00005960057,0.9882749,0.002623607,0.0001523792,0.000386467,0.00001908818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862272,0.00002263557,0.007999768,0.0002252644,0.00002463539,0.0001640221,0.00123498,0.0008310287,0.003270363],"genre_scores_gemma":[0.988351,0.0000164216,0.009938522,0.00001785181,0.000004819187,0.00006836951,0.001029786,0.00003055701,0.0005427217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.271916,"threshold_uncertainty_score":0.5406666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246464897920435,"score_gpt":0.2125913320535529,"score_spread":0.1901266830743485,"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."}}