{"id":"W2114287382","doi":"10.1109/tpwrs.2009.2023274","title":"Wind Turbines Capacity Factor Modeling—A Novel Approach","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Turbine; Wind power; Matching (statistics); Capacity factor; Engineering; Marine engineering; Power (physics); Computer science; Automotive engineering; Mathematics; Electrical engineering; Aerospace engineering; Statistics","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":[0.000192235,0.001016719,0.000616116,0.0004816382,0.0003082725,0.0008234618,0.00144007,0.0009722892,0.002676619],"category_scores_gemma":[0.0008248609,0.000438695,0.0006298693,0.0004917901,0.000345943,0.001935093,0.0005904518,0.001024136,0.001632483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935909,"about_ca_system_score_gemma":0.0006526902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004255288,"about_ca_topic_score_gemma":0.003238816,"domain_scores_codex":[0.9997718,0.00003612796,0.000009847574,0.00005135783,0.0001106385,0.00002025696],"domain_scores_gemma":[0.9998327,0.00004399727,0.00002127956,0.00002953104,0.00006501432,0.000007412611],"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":[0.00002347397,0.00003594627,0.000300498,0.00006879804,0.00002719683,0.0002028265,0.00006193125,0.872357,0.01091147,0.06155491,0.003272856,0.05118316],"study_design_scores_gemma":[0.000002870037,0.000007274853,0.00003637528,0.000005187321,0.000003825755,0.0000384331,0.00000472744,0.9874041,0.000898738,0.00619757,0.005394308,0.000006537108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002166,0.0001238116,0.9920142,0.00007315649,0.00005220163,0.00001309961,0.00006299451,0.0001776397,0.005316821],"genre_scores_gemma":[0.5861544,0.00209398,0.37839,0.0002476853,0.0005522516,0.0002243677,0.0006549196,0.0008073635,0.03087509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004255288,"threshold_uncertainty_score":0.008954167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434093557805561,"score_gpt":0.2196312801331552,"score_spread":0.1852903445550996,"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."}}