{"id":"W2108097641","doi":"10.1109/tec.2008.2001454","title":"Clustering of Wind Farms and its Sizing Impact","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Adelaide","keywords":"Cluster analysis; Joins; Sizing; Cluster (spacecraft); Wind power; Computer science; Engineering; Artificial intelligence; Electrical engineering; Computer network","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":[0.0008691931,0.0004718645,0.0003667246,0.0005555846,0.0004673909,0.001077325,0.0006201291,0.0005771784,0.001663374],"category_scores_gemma":[0.005865806,0.0003842126,0.0002572572,0.0008684174,0.0005735245,0.000840084,0.0004580375,0.0003135907,0.000162446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251449,"about_ca_system_score_gemma":0.0004874704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859095,"about_ca_topic_score_gemma":0.00866137,"domain_scores_codex":[0.9994875,0.0002050877,0.00002420204,0.00009358312,0.0001292387,0.00006028074],"domain_scores_gemma":[0.9943947,0.003634475,0.0009378324,0.0003869839,0.0004525433,0.0001934539],"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":[0.0001072649,0.00003728539,0.007409939,0.00004509725,0.00003368756,0.0001375256,0.00005555914,0.9660605,0.003082736,0.00643311,0.0005797584,0.01601748],"study_design_scores_gemma":[0.00002472107,0.000256275,0.01790287,0.00002729451,0.00006826559,0.0002069215,0.0004029291,0.9635562,0.005437549,0.01013617,0.001952277,0.0000284516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054714,0.0007577999,0.07379204,0.0006053978,0.00004521865,0.00009040699,0.0002523222,0.0003217096,0.01866372],"genre_scores_gemma":[0.9941697,0.0001316834,0.004822844,0.00001148006,0.000007287145,0.000007757555,0.00006214184,0.00001699896,0.0007701048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005859095,"threshold_uncertainty_score":0.01165003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494883757185349,"score_gpt":0.201615647994276,"score_spread":0.1941207642370907,"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."}}