{"id":"W7073638978","doi":"","title":"Wind power forecasting using artificial neural networks with numerical prediction : a case study for mountainous Canada","year":2016,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Hydro","keywords":"Artificial neural network; Wind power; Wind power forecasting; Terrain; Numerical weather prediction; Wind speed; Turbine; Electricity generation; Predictive modelling; Weather forecasting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007470798,0.0001210189,0.0003850047,0.00006232603,0.0002204278,0.000063412,0.0001480233,0.0001794046,0.0001272673],"category_scores_gemma":[0.00000694105,0.0003191231,0.00007544558,0.0001566629,0.0000667998,0.0001043232,0.00004380824,0.0001844753,3.292757e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343538,"about_ca_system_score_gemma":0.000127222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8914076,"about_ca_topic_score_gemma":0.9915214,"domain_scores_codex":[0.9988632,0.00002792856,0.0001592101,0.0003491594,0.0002060896,0.0003944281],"domain_scores_gemma":[0.9994177,0.00005015986,0.0001423503,0.0001896586,0.00007264446,0.0001275198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009482792,0.0002959854,0.01350428,0.0005423187,0.00134134,0.02811745,0.0006704365,0.4001893,0.0000142683,8.3098e-7,0.05698561,0.4982434],"study_design_scores_gemma":[0.002498759,0.0005747591,0.01058374,0.001279809,0.0004933885,0.006855192,0.005272381,0.966976,1.346988e-7,0.000005075393,0.004293596,0.00116711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672436,0.0001568165,0.02427061,0.000002602245,0.0008963555,0.0007418994,0.0007824853,0.0002766839,0.005629027],"genre_scores_gemma":[0.9960601,0.000003627795,0.0004086179,0.000004777484,0.000271798,0.000001185028,0.00002813501,0.0002365674,0.002985229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5667868,"threshold_uncertainty_score":0.9999261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094402299957405,"score_gpt":0.1698315587284425,"score_spread":0.1588875357288685,"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."}}