{"id":"W1973080963","doi":"10.1115/imece2010-39995","title":"Experimental Investigation of Power Density Enhancement for a Small Wind Turbine Augmented With a Novel Deflector","year":2010,"lang":"en","type":"article","venue":"Volume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"Western Economic Diversification Canada; British Columbia Institute of Technology","keywords":"Turbine; Wind speed; Wind power; Wind tunnel; Duct (anatomy); Marine engineering; Power density; Power (physics); Environmental science; Airflow; Flow (mathematics); Automotive engineering; Mechanics; Electrical engineering; Engineering; Meteorology; Physics; Aerospace engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003490056,0.0003452761,0.0003628119,0.0001698424,0.0002693952,0.0002057092,0.0003913547,0.0004016173,0.002165169],"category_scores_gemma":[0.0004852086,0.0002220733,0.0001530624,0.0001614856,0.0004372296,0.0005700662,0.0002516473,0.000396023,0.0003940661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488742,"about_ca_system_score_gemma":0.00008893596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952876,"about_ca_topic_score_gemma":0.0003035601,"domain_scores_codex":[0.9997721,0.00002776669,0.00001569045,0.00005683722,0.00008587298,0.00004165921],"domain_scores_gemma":[0.9994216,0.0002661395,0.00006675129,0.00007700866,0.000122227,0.00004628279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002501548,0.0001730628,0.0004674396,0.00009314552,0.00000495954,0.00013345,0.00008276345,0.0003260746,0.993894,0.0001661959,0.0001173584,0.004291341],"study_design_scores_gemma":[0.00005800589,0.002777494,0.005919668,0.000008191777,0.00001442434,0.0001529484,0.00007058546,0.00301683,0.9863279,0.00004870166,0.001592118,0.00001318405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918063,0.0001104825,0.00654416,0.00004890272,0.00003476533,0.00005545686,0.000102774,0.0001008577,0.00119638],"genre_scores_gemma":[0.9930266,0.0001092404,0.005561555,0.0000216764,0.00001210814,0.00004743696,0.00008566466,0.0000234699,0.001112339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002165169,"threshold_uncertainty_score":0.007243216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074136888840513,"score_gpt":0.2139157981244319,"score_spread":0.2031744292360268,"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."}}