{"id":"W1592939112","doi":"10.1002/we.1613","title":"Errors and uncertainties associated with missing wind data and short records","year":2013,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Boehringer Ingelheim (Canada)","funders":"","keywords":"Wind speed; Wind power; Environmental science; Wind resource assessment; Meteorology; Missing data; Data set; Turbine; Statistics; Wind direction; Mathematics; Geography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001218357,0.0001666973,0.0001726217,0.00008485117,0.0001022309,0.0001291715,0.0001575739,0.00008204197,0.00007518437],"category_scores_gemma":[0.00003734917,0.0001351942,0.000008543135,0.000140692,0.00008555314,0.0003299103,0.0001318491,0.0001065783,0.000002886359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004069666,"about_ca_system_score_gemma":0.000038223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007427096,"about_ca_topic_score_gemma":0.0003825957,"domain_scores_codex":[0.999033,0.00002230873,0.0001394117,0.0002505481,0.0001903732,0.0003643929],"domain_scores_gemma":[0.999429,0.00005135149,0.00001228121,0.000266828,0.00003681512,0.0002037477],"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":[0.00009196002,0.0001306605,0.06366608,0.0002109918,0.00168886,0.0001697214,0.002526604,0.05200365,0.004413793,0.0005824488,0.09804143,0.7764738],"study_design_scores_gemma":[0.002052968,0.0003737671,0.3235303,0.0006233105,0.00009173381,0.0001244187,0.001970696,0.4536406,0.003152639,0.002002545,0.2101818,0.002255169],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990336,0.0009022125,0.0004816272,0.0002684773,0.00009628275,0.0000508833,0.0000119332,0.0001455011,0.007707098],"genre_scores_gemma":[0.9976089,0.0002785657,0.0008250016,0.0000781525,0.00006748835,0.00000523745,0.0001119507,0.00003398262,0.0009907378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7742186,"threshold_uncertainty_score":0.5513061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199114492037485,"score_gpt":0.2211460940274287,"score_spread":0.1991549491070539,"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."}}