{"id":"W4409250282","doi":"10.1016/j.rser.2025.115618","title":"Morphing structural materials used in wind turbine blades","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; National Natural Science Foundation of China; University of Liverpool; Newcastle University","keywords":"Morphing; Turbine blade; Turbine; Marine engineering; Engineering; Structural engineering; Forensic engineering; Computer science; Aerospace engineering; Computer graphics (images)","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":[0.000130161,0.0003011588,0.0002311683,0.0006772039,0.0001599034,0.0003689869,0.000240636,0.000605121,0.001172232],"category_scores_gemma":[0.0002038139,0.0001890224,0.0002080013,0.0005532675,0.0002330783,0.0004548316,0.0001986165,0.0004212943,0.0004834789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378548,"about_ca_system_score_gemma":0.0001179262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709371,"about_ca_topic_score_gemma":0.0004063399,"domain_scores_codex":[0.9998697,0.00001984423,0.00001371469,0.00002808264,0.00005903592,0.000009605903],"domain_scores_gemma":[0.999934,0.00002472228,0.00002278623,0.000004481174,0.00001111431,0.000003022901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009867862,0.0000987126,0.0006403049,0.01532413,0.00005165685,0.0009629378,0.0002752604,0.004513551,0.5660664,0.03209091,0.003931511,0.375946],"study_design_scores_gemma":[0.00001565812,0.0007524427,0.004699477,0.002548454,0.0001340371,0.004402878,0.0002390798,0.005256099,0.2987592,0.01135891,0.671769,0.00006475166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08243887,0.8628777,0.02478691,0.0004833726,0.001011964,0.00007841491,0.0001721978,0.0001093122,0.02804131],"genre_scores_gemma":[0.4756059,0.4847772,0.02409835,0.0006202392,0.0005445619,0.00009809114,0.0002334503,0.00005564313,0.01396661],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001172232,"threshold_uncertainty_score":0.003921568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007511874358524201,"score_gpt":0.2217686183450139,"score_spread":0.2142567439864897,"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."}}