{"id":"W3094799910","doi":"10.1115/detc2020-22314","title":"Experimental Modal Analysis of Business Jet Fuselage Tail Section Sub-Assemblies","year":2020,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fuselage; Modal; Modal analysis; Computer science; Experimental data; Repeatability; Shaker; Modal testing; Natural frequency; Structural engineering; Work (physics); Jet (fluid); Finite element method; Engineering; Acoustics; Mechanical engineering; Aerospace engineering; Materials science; Vibration; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003165725,0.0001154951,0.0002313969,0.0001664279,0.00002605725,0.00001302709,0.000095729,0.00006916426,0.00007328311],"category_scores_gemma":[0.00001124316,0.0001069971,0.00006392635,0.001124347,0.00001458952,0.0001278791,0.00002868136,0.00007859794,0.000002677534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006916502,"about_ca_system_score_gemma":0.000006957775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001879039,"about_ca_topic_score_gemma":0.00001232183,"domain_scores_codex":[0.9993782,0.00001111278,0.0002074832,0.0001266296,0.0001387392,0.0001378224],"domain_scores_gemma":[0.9997126,0.00002012879,0.00002775107,0.0001249135,0.00004858567,0.00006596161],"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":[0.0000409674,0.00002089489,0.01530329,0.0002567686,0.0004582121,0.00000454576,0.001655375,0.02635014,0.9507353,0.0002390862,0.001915326,0.00302007],"study_design_scores_gemma":[0.00008541998,0.00003531171,0.1049009,0.000005933774,0.00007321701,7.262361e-7,0.0001505463,0.05097171,0.8434846,0.00000992773,0.0001553602,0.0001263357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931792,0.0001202181,0.004774177,0.00005617695,0.0002740128,0.00008629478,0.000006308517,0.0009371258,0.0005665101],"genre_scores_gemma":[0.9976656,0.0000243723,0.002070585,0.00002462653,0.000166301,0.00001344244,0.00001094933,0.00001871601,0.000005411174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072508,"threshold_uncertainty_score":0.4363217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594802254122382,"score_gpt":0.2748865357944929,"score_spread":0.2489385132532691,"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."}}