{"id":"W2770413746","doi":"10.5194/wes-3-919-2018","title":"Experimental validation of a ducted wind turbine design strategy","year":2018,"lang":"en","type":"article","venue":"Wind energy science","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Turbine; Computer simulation; Rotor (electric); Computational fluid dynamics; Duct (anatomy); Wind power; Numerical analysis; Actuator; Control theory (sociology); Mechanics; Aerospace engineering; Engineering; Physics; Marine engineering; Computer science; Mechanical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000684885,0.0004120937,0.0002676078,0.0002439196,0.0002910932,0.0003185114,0.000458366,0.0004212023,0.002207675],"category_scores_gemma":[0.0009107453,0.0001720921,0.0001461791,0.0001473501,0.0003167913,0.0003024545,0.0003722383,0.0002911587,0.0005884461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183919,"about_ca_system_score_gemma":0.0003167626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002891137,"about_ca_topic_score_gemma":0.0005334769,"domain_scores_codex":[0.9995822,0.00007327074,0.00003398332,0.00007674857,0.0001998265,0.00003392222],"domain_scores_gemma":[0.9990793,0.000151895,0.0001255755,0.0002192469,0.0003589922,0.00006495425],"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":[0.0004249335,0.0008019955,0.004041504,0.000445477,0.00003500663,0.0003025721,0.0001903894,0.07802015,0.8732422,0.00204562,0.001002553,0.03944761],"study_design_scores_gemma":[0.0003121096,0.01203762,0.007727098,0.00004613431,0.00003982925,0.0002790597,0.0001349349,0.2296571,0.738515,0.0005576945,0.01064223,0.00005126424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698874,0.000108143,0.122604,0.00008460386,0.00008870129,0.0003448667,0.0003913826,0.0005175329,0.005973493],"genre_scores_gemma":[0.9640129,0.00004439551,0.03294702,0.00001723205,0.000005105368,0.0001826913,0.0001502548,0.00002857999,0.002611886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002207675,"threshold_uncertainty_score":0.007385373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648731515836491,"score_gpt":0.2557446674812315,"score_spread":0.2292573523228666,"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."}}