{"id":"W2132911706","doi":"10.1109/tec.2006.889605","title":"Macromodel of Spatial Smoothing in Wind Farms","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Smoothing; Wind power; Turbine; Traverse; Aerodynamics; Wind speed; Harmonic; Harmonics; Power (physics); Control theory (sociology); Mathematics; Computer science; Engineering; Meteorology; Aerospace engineering; Electrical engineering; Physics; Acoustics; Statistics; Geology; Geodesy","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":[0.0004030512,0.0004815148,0.0006858994,0.0005734108,0.0005900344,0.001166636,0.001137583,0.001294117,0.007972484],"category_scores_gemma":[0.001494149,0.0004429807,0.0007698797,0.0008139947,0.0004862566,0.001122303,0.0005765678,0.0007658344,0.001424833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008677834,"about_ca_system_score_gemma":0.0009345774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008415007,"about_ca_topic_score_gemma":0.006201239,"domain_scores_codex":[0.9998302,0.00004008754,0.00001048402,0.00004608031,0.00005201267,0.00002107201],"domain_scores_gemma":[0.9995773,0.0001591933,0.00004902347,0.00007569507,0.000107301,0.0000314992],"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":[0.00002030697,0.00001214955,0.0003572984,0.00001902718,0.00001222723,0.00004975847,0.00003199315,0.97132,0.001163395,0.02007561,0.0008391867,0.006099019],"study_design_scores_gemma":[0.000005063738,0.000005682443,0.00007670011,0.000002617415,0.000003264161,0.00001199625,0.000004780353,0.9924219,0.0002063898,0.005646162,0.001611306,0.000004067229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01639339,0.000168164,0.9730175,0.0001609383,0.00009359843,0.00003158422,0.0003316133,0.0009542333,0.008849071],"genre_scores_gemma":[0.7841138,0.0007022214,0.1639409,0.0002011238,0.0001514213,0.0003395653,0.001042282,0.001017043,0.04849168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008415007,"threshold_uncertainty_score":0.02667058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009016311177778865,"score_gpt":0.2087297930816883,"score_spread":0.1997134819039095,"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."}}