{"id":"W3112754040","doi":"10.1002/stc.2669","title":"Shape memory alloy‐based centrifugal stiffening for response reduction of horizontal axis wind turbine blade","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Stiffening; Structural engineering; Aerodynamics; Turbine blade; Vibration; Engineering; SMA*; Turbine; Wind speed; Shape-memory alloy; Serviceability (structure); Materials science; Mechanical engineering; Computer science; Acoustics; Physics; Aerospace 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":[0.00008547324,0.0003119126,0.0001711926,0.0001724318,0.0001279464,0.0001603122,0.0003186153,0.0002200331,0.0006829583],"category_scores_gemma":[0.0001539931,0.0001051027,0.0002010598,0.0001092395,0.000148344,0.0001569357,0.0001875641,0.0001230512,0.0001613826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021862,"about_ca_system_score_gemma":0.0001357628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000506084,"about_ca_topic_score_gemma":0.001388942,"domain_scores_codex":[0.9999534,0.000007297734,0.000002458211,0.000006888604,0.0000232394,0.000006667998],"domain_scores_gemma":[0.9999441,0.00001371299,0.00001842518,0.000009369218,0.00001045998,0.000003833418],"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":[0.0002204694,0.00008845496,0.001043843,0.0001641095,0.00002708453,0.0001503558,0.00005593392,0.2478291,0.6908473,0.001511188,0.000222243,0.05783983],"study_design_scores_gemma":[0.00001155527,0.0004320144,0.001916847,0.000007540509,0.00001608315,0.00009503202,0.00002468426,0.9050516,0.09083542,0.0003458644,0.001253292,0.000009941235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577943,0.0005666986,0.235826,0.00007558194,0.00004288529,0.00002929019,0.00002917046,0.0002720392,0.005364052],"genre_scores_gemma":[0.9898587,0.00007166317,0.009053374,0.0000110664,0.000003057122,0.000006072327,0.00001161644,0.000008028676,0.0009763238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006829583,"threshold_uncertainty_score":0.002284706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240171511876833,"score_gpt":0.2722446703541623,"score_spread":0.248227519166479,"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."}}