{"id":"W2742889689","doi":"10.1115/1.4037490","title":"Development of the Dual Vertical Axis Wind Turbine Using Computational Fluid Dynamics","year":2017,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Vertical axis wind turbine; Turbine; Chord (peer-to-peer); Wind power; Computational fluid dynamics; Marine engineering; Tip-speed ratio; Vertical axis; Power (physics); Computer science; Aerospace engineering; Environmental science; Engineering; Physics; Electrical engineering; Engineering drawing","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":[0.0002199288,0.0003500653,0.0003513892,0.0002068171,0.0002009411,0.0003600604,0.0005027702,0.0005035688,0.001285592],"category_scores_gemma":[0.0002530084,0.0002623188,0.0003966026,0.0001592332,0.0002133871,0.0004589431,0.0003988561,0.0005646112,0.0005847226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397041,"about_ca_system_score_gemma":0.0005786314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006565389,"about_ca_topic_score_gemma":0.0007383948,"domain_scores_codex":[0.9998842,0.00001103599,0.000006013274,0.00001990394,0.00007086629,0.000007955399],"domain_scores_gemma":[0.9999205,0.00001135575,0.000008913637,0.000009230053,0.00003987689,0.00001006431],"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":[0.0001228248,0.0001606865,0.00406603,0.0006087131,0.00007059368,0.000970075,0.0002055813,0.3838427,0.2472632,0.05430753,0.006225763,0.3021564],"study_design_scores_gemma":[0.00004556735,0.0002457125,0.001006423,0.00003528547,0.0000156173,0.0003406888,0.00002136241,0.9397355,0.0229787,0.002234516,0.03330987,0.00003080273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02596303,0.0003749241,0.9648516,0.0002026931,0.0002381475,0.0001943945,0.0001041144,0.0004928743,0.007578264],"genre_scores_gemma":[0.2728611,0.0008068238,0.7174326,0.00006491378,0.00005309059,0.0003629343,0.0002790939,0.00009077945,0.008048695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001285592,"threshold_uncertainty_score":0.004300714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696632145338519,"score_gpt":0.2388963022341182,"score_spread":0.221929980780733,"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."}}