{"id":"W3145311708","doi":"10.1063/5.0026591","title":"Optimization of active blade pitching of a vertical axis wind turbine using analytical and CFD based metamodel","year":2021,"lang":"en","type":"article","venue":"Journal of Renewable and Sustainable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Vertical axis wind turbine; Computational fluid dynamics; Turbine; Torque; Blade (archaeology); Control theory (sociology); Power (physics); Wind power; Turbine blade; Function (biology); Physics; Engineering; Computer science; Aerospace engineering; Structural engineering; Mechanics; Control (management); Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002846342,0.0001176745,0.0003858763,0.0002592584,0.00005387314,0.00003114372,0.00006052985,0.00008127612,0.00002808809],"category_scores_gemma":[0.0001631063,0.0001028599,0.00006727537,0.0003387595,0.00005269361,0.000263487,0.00005804316,0.0001112075,1.095027e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009294765,"about_ca_system_score_gemma":0.0003997189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966132,"about_ca_topic_score_gemma":0.00001145812,"domain_scores_codex":[0.9988651,0.00005210049,0.00039774,0.0001045474,0.0002812131,0.0002992763],"domain_scores_gemma":[0.9991023,0.00009672262,0.00006598648,0.00009113143,0.0004643167,0.0001795668],"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":[0.0001240624,0.00004770559,0.0001300678,0.000187474,0.0001827658,0.0001407224,0.00009616229,0.9896787,0.007931308,0.0005078927,0.00005393015,0.0009192215],"study_design_scores_gemma":[0.0008779942,0.0001176021,0.0001601987,0.00009145917,0.00007670106,0.00005918132,0.001254977,0.9138669,0.08242372,0.0004924558,0.0004673837,0.0001114285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362393,0.002266159,0.2605613,0.00008578454,0.00003755789,0.00002465896,0.000001781341,0.000006653189,0.0007768179],"genre_scores_gemma":[0.9888848,0.0006399197,0.01015479,0.00001768412,0.00004162186,5.114691e-7,0.000003014765,0.00001593511,0.0002417093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2526455,"threshold_uncertainty_score":0.4194506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009783443267365,"score_gpt":0.2250484689752799,"score_spread":0.2149506345426063,"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."}}