{"id":"W2048866497","doi":"10.1117/12.921037","title":"Aircraft fiber optic structural health monitoring","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Structural health monitoring; Fiber Bragg grating; Aerospace; Strain gauge; Fiber optic sensor; Optical fiber; Reliability engineering; Computer science; Reliability (semiconductor); Durability; Engineering; Systems engineering; Telecommunications; Electrical engineering; 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":[0.0001511719,0.0002462948,0.0001254472,0.000453967,0.0002286442,0.0002085229,0.0002851784,0.0002673872,0.001656471],"category_scores_gemma":[0.000251429,0.0000744672,0.00006603255,0.0002373785,0.0001178291,0.0002598054,0.0001623616,0.0001777917,0.0002827351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014047,"about_ca_system_score_gemma":0.0001820318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987827,"about_ca_topic_score_gemma":0.004118907,"domain_scores_codex":[0.9998104,0.0000161417,0.000004482637,0.0000380836,0.0001112243,0.00001969464],"domain_scores_gemma":[0.9997922,0.00003051183,0.00004603428,0.00001802859,0.0001011694,0.00001207279],"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":[0.000216306,0.00006341367,0.01757265,0.0002057693,0.00002122322,0.00009929244,0.0001510347,0.0034392,0.8549242,0.0007898533,0.001509726,0.1210074],"study_design_scores_gemma":[0.00001577027,0.0007125035,0.09007984,0.00003296959,0.00005870563,0.0005284454,0.0001698864,0.05035523,0.8451226,0.0004537317,0.01243136,0.00003882589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842887,0.002040506,0.09208561,0.0003044528,0.0001216235,0.0001129553,0.001471992,0.001412634,0.01816157],"genre_scores_gemma":[0.9785157,0.0005094307,0.01630585,0.00005708747,0.00002276474,0.00001518068,0.0003105525,0.00001794507,0.00424546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001987827,"threshold_uncertainty_score":0.005541444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272906308031147,"score_gpt":0.2753244619137627,"score_spread":0.2525953988334512,"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."}}