{"id":"W4400487586","doi":"10.3390/s24144456","title":"Natural Frequency Transmissibility for Detection of Cracks in Horizontal Axis Wind Turbine Blades","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Transmissibility (structural dynamics); Turbine blade; Structural engineering; Vibration; Acceleration; Turbine; Natural frequency; Transverse plane; Amplitude; Acoustics; Engineering; Marine engineering; Mechanical engineering; Physics; Optics; Vibration isolation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001221159,0.0001248629,0.0001611387,0.000138428,0.00001930395,0.0000110897,0.00006851059,0.0001124302,0.000005875577],"category_scores_gemma":[0.00003873379,0.0001163193,0.00007260192,0.0002135185,0.00002928619,0.00008915742,0.000004461811,0.0002453464,0.00000115751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899606,"about_ca_system_score_gemma":0.00001357345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002152682,"about_ca_topic_score_gemma":0.00009890999,"domain_scores_codex":[0.9992414,0.00001632319,0.0002687936,0.0001753445,0.00009363466,0.0002045235],"domain_scores_gemma":[0.9996896,0.0001005825,0.00001326619,0.0001324213,0.00002673191,0.0000374181],"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":[0.00008552744,0.00001423082,0.0008636946,0.003244112,0.00004638816,0.00001779028,0.001889152,0.001396963,0.7335746,0.0001679666,0.00004645438,0.2586532],"study_design_scores_gemma":[0.0002678506,0.0002305752,0.09491664,0.0003212817,0.00001873191,0.00001615495,0.0001069795,0.06306963,0.834129,0.006276594,0.0003553374,0.0002912304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965085,0.001180614,0.0002019273,0.00003186938,0.001049768,0.0003515716,0.0000228511,0.0005738318,0.00007906673],"genre_scores_gemma":[0.9968954,0.00003380278,0.002838088,0.000001483763,0.0001702973,0.00001339079,0.000003866194,0.00002875919,0.00001496723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583619,"threshold_uncertainty_score":0.4743365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141172922406227,"score_gpt":0.2750000237030785,"score_spread":0.2635882944790163,"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."}}