{"id":"W4391138556","doi":"10.3390/risks12020018","title":"Stochastic Modeling of Wind Derivatives with Application to the Alberta Energy Market","year":2024,"lang":"en","type":"article","venue":"Risks","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind power; Environmental science; Meteorology; Econometrics; Economics; Engineering; Geography; Electrical 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":[0.0009445245,0.0005929196,0.0005386662,0.0007050511,0.0005625973,0.001821115,0.001218818,0.001088978,0.002584298],"category_scores_gemma":[0.002791824,0.0003097441,0.0004715718,0.001022658,0.0008389557,0.000988757,0.000737805,0.001020857,0.0001344887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955672,"about_ca_system_score_gemma":0.001650567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1421629,"about_ca_topic_score_gemma":0.1059696,"domain_scores_codex":[0.9997875,0.00007881186,0.000009721774,0.00003235635,0.00005856855,0.00003304806],"domain_scores_gemma":[0.9993205,0.0003546972,0.0001065,0.00002554199,0.0001100904,0.00008272782],"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":[0.00002689952,0.00003293357,0.002765214,0.00001780728,0.00001781007,0.0001512425,0.00003320929,0.9457688,0.000242588,0.04777402,0.0007856445,0.002383708],"study_design_scores_gemma":[0.000002916728,0.000003405278,0.0004087903,0.000001478986,0.000001765377,0.000006207292,0.00001092609,0.9957979,0.00001769941,0.003510864,0.00023349,0.000004544298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7126852,0.002172732,0.2560753,0.00241946,0.0002183478,0.0001144986,0.001584963,0.0002884874,0.02444099],"genre_scores_gemma":[0.9826027,0.0005631953,0.008135387,0.00005323195,0.00005162252,0.00003093336,0.0004812964,0.00002955534,0.008051964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8578371,"threshold_uncertainty_score":0.2826707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149265328524117,"score_gpt":0.2449984152427917,"score_spread":0.23007188239038,"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."}}