{"id":"W4410738355","doi":"10.1109/iraset64571.2025.11008148","title":"Structural damage detection of wind turbine based on YOLO11","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Turbine; Wind power; Computer science; Engineering; Aerospace engineering; 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":[0.0001311444,0.0007225674,0.0004945052,0.001330497,0.000181082,0.0004467227,0.0005190352,0.0005797028,0.002183101],"category_scores_gemma":[0.0005766387,0.0001997078,0.000381659,0.0004058505,0.0001609575,0.0005570597,0.0004609411,0.0003390037,0.001012805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025655,"about_ca_system_score_gemma":0.0003109693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004197528,"about_ca_topic_score_gemma":0.01053979,"domain_scores_codex":[0.9998738,0.000007064123,0.000006935396,0.00003678459,0.00004334123,0.00003205592],"domain_scores_gemma":[0.9997653,0.0000302088,0.00004842582,0.00001855931,0.0001103515,0.00002713483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001419533,0.0004401708,0.07639278,0.0007366096,0.0002227213,0.001894434,0.0002971569,0.1418619,0.17601,0.001820933,0.02316202,0.5757418],"study_design_scores_gemma":[0.00002736573,0.000259108,0.0481784,0.0000539198,0.00007078471,0.0004376581,0.0001279577,0.9160731,0.0304091,0.0006392418,0.0036799,0.00004345265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6678323,0.001266122,0.3094862,0.0004439297,0.0002425772,0.0001911506,0.003237755,0.006312295,0.01098785],"genre_scores_gemma":[0.9268352,0.0004344962,0.06213653,0.0001989951,0.00005301747,0.00009281618,0.004082106,0.0001126125,0.006054306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004197528,"threshold_uncertainty_score":0.0083462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546470758219984,"score_gpt":0.2638172127813666,"score_spread":0.2483525051991668,"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."}}