{"id":"W2313557459","doi":"10.1109/powercon.2014.6993972","title":"Global optimization of total power generated from wind farm","year":2014,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Turbine; Wind power; Computational fluid dynamics; Marine engineering; Hinge; Profitability index; Computer science; Grid; Aerospace engineering; Environmental science; Engineering; Meteorology; Mechanical engineering; Electrical engineering; Geology; Physics; 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":[0.0005190918,0.0007476888,0.0007786456,0.0004200503,0.0002472734,0.0009256582,0.0003209959,0.0007794827,0.002163575],"category_scores_gemma":[0.001299822,0.0004601322,0.0003096419,0.0004853001,0.0005078192,0.0007358073,0.0004318317,0.0003919859,0.0002279781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005217355,"about_ca_system_score_gemma":0.0006214236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002295132,"about_ca_topic_score_gemma":0.003336038,"domain_scores_codex":[0.9998827,0.00004529505,0.000003736236,0.00001987252,0.00002570952,0.00002266078],"domain_scores_gemma":[0.9996647,0.0002045829,0.00003362518,0.00001436557,0.00005676757,0.00002602983],"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":[0.00002151559,0.000008151192,0.0001524721,0.00001464251,0.000008213116,0.00001575617,0.000003730841,0.9962057,0.0003537963,0.0009528941,0.0001881805,0.002074952],"study_design_scores_gemma":[0.00000611975,0.0000288115,0.0001828091,0.000002420335,0.000004027747,0.000004261909,0.000007446878,0.9980859,0.0002003448,0.00135097,0.0001246356,0.000002341263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4286459,0.0008701211,0.5299476,0.0007691739,0.0001147685,0.00007432844,0.000542044,0.0003913471,0.03864469],"genre_scores_gemma":[0.9802908,0.0001580329,0.0157347,0.0000338348,0.00001852011,0.00005182783,0.0001146563,0.00008369003,0.003514001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002295132,"threshold_uncertainty_score":0.007237911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315884700160194,"score_gpt":0.1947260462888565,"score_spread":0.1894101615886963,"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."}}