{"id":"W2977546386","doi":"10.1002/ese3.438","title":"Numerical investigations of a novel vertical axis wind turbine using Blade Element Theory‐Vortex Filament Method (<scp>BET</scp>‐<scp>VFM</scp>)","year":2019,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Vertical axis wind turbine; Aerodynamics; Aerospace engineering; Vortex; Computational fluid dynamics; Turbine; Finite element method; Wind power; Structural engineering; Engineering; Marine engineering; Physics; Meteorology; Electrical engineering","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":[0.0002240219,0.0003015703,0.0003791226,0.0002943661,0.0004517942,0.0003812768,0.0004429405,0.0007430235,0.001431316],"category_scores_gemma":[0.0004679309,0.0001735506,0.0003067501,0.0002871972,0.000397904,0.0002680577,0.0002564479,0.0002316606,0.0001397936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362858,"about_ca_system_score_gemma":0.0004094326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004389595,"about_ca_topic_score_gemma":0.003845576,"domain_scores_codex":[0.9999281,0.00001528227,0.000004887056,0.00001020455,0.0000267717,0.0000147336],"domain_scores_gemma":[0.9997557,0.000122148,0.00003881827,0.00002059731,0.00004400629,0.00001869078],"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":[0.0001232556,0.0001107938,0.006126982,0.00007849805,0.00002248603,0.0006589089,0.00008839006,0.9535387,0.02836458,0.001921658,0.0006236887,0.008341954],"study_design_scores_gemma":[0.00001738019,0.00009111017,0.001491179,0.000005524791,0.000004192631,0.00004451425,0.00003331996,0.9957166,0.00219131,0.0001202738,0.0002769358,0.000007596015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716915,0.0000700341,0.02135423,0.00009356211,0.0000393094,0.00005474737,0.0001939007,0.0001345678,0.006368121],"genre_scores_gemma":[0.9881516,0.0000318305,0.01085107,0.000008807818,0.000003166599,0.00003201462,0.00007392003,0.00001025995,0.0008372464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004389595,"threshold_uncertainty_score":0.008728087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507880160351314,"score_gpt":0.2466167001749002,"score_spread":0.231537898571387,"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."}}