{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0199368,0.0006345396,0.001102396,0.002775205,0.000831281,0.001738255,0.001176643,0.0009082209,0.0008534192],"category_scores_gemma":[0.07510231,0.0006901234,0.001095172,0.003590836,0.001055592,0.001862562,0.00135279,0.001042259,0.0002253521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009103995,"about_ca_system_score_gemma":0.0007381844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008640914,"about_ca_topic_score_gemma":0.006547994,"domain_scores_codex":[0.9881541,0.004286863,0.001638221,0.001955575,0.003528977,0.0004362762],"domain_scores_gemma":[0.8850978,0.08398065,0.0136501,0.01155299,0.00533025,0.0003882948],"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":[0.0007734773,0.0002409377,0.3136919,0.0007118689,0.001075543,0.001355033,0.0009823842,0.5470231,0.003087606,0.01627387,0.003573349,0.1112111],"study_design_scores_gemma":[0.00009346014,0.0003660111,0.3722757,0.000675588,0.0005807477,0.001312333,0.001084977,0.5378248,0.01000844,0.06271371,0.01267039,0.0003939324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7420975,0.002822896,0.2400307,0.001072108,0.0003774269,0.0001396539,0.00771752,0.0007610194,0.004981244],"genre_scores_gemma":[0.9842156,0.0002993062,0.01224185,0.00005467952,0.00005172649,0.00005172176,0.002629388,0.00004219112,0.0004134177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0199368,"threshold_uncertainty_score":0.1054372,"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."}}