{"id":"W2157381189","doi":"10.3390/s110403687","title":"Fiber Optic Sensors for Structural Health Monitoring of Air Platforms","year":2011,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence; National Research Council Canada; Institute for Microstructural Sciences; University of Ottawa","funders":"National Research Council Canada; Ministère de la Défense Nationale","keywords":"Structural health monitoring; Aerospace; Fiber Bragg grating; Fiber optic sensor; Optical fiber; Systems engineering; Computer science; Electro-optical sensor; Engineering; Reliability engineering; Telecommunications; Electronic engineering; Electrical engineering; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004049852,0.0004780101,0.0002777952,0.0006018967,0.000243581,0.0004258927,0.0003629968,0.0006710552,0.001484176],"category_scores_gemma":[0.0003514952,0.0001628887,0.0002065018,0.0004574081,0.0002013617,0.0005604054,0.0002846438,0.0004337539,0.0006155372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003617737,"about_ca_system_score_gemma":0.0003658714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007120849,"about_ca_topic_score_gemma":0.001640445,"domain_scores_codex":[0.9995868,0.00005052621,0.0000103259,0.00005262721,0.0002793367,0.0000203962],"domain_scores_gemma":[0.9998585,0.00003433383,0.00002876383,0.00001243788,0.00005645026,0.00000943301],"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":[0.0001348381,0.00006409676,0.002337791,0.0007543889,0.00003203981,0.0002144502,0.0001239174,0.00204288,0.745356,0.004855079,0.003446107,0.2406383],"study_design_scores_gemma":[0.00003082591,0.0008907376,0.01544461,0.0003898164,0.0001219796,0.002109334,0.0002288256,0.03257152,0.7331647,0.006347195,0.2086123,0.00008809225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2626813,0.2608528,0.4085632,0.002946615,0.001203963,0.0004915895,0.001077087,0.001571112,0.06061221],"genre_scores_gemma":[0.67918,0.07147133,0.2206032,0.000613308,0.0004464792,0.0001731568,0.0005741667,0.00006544298,0.02687285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001484176,"threshold_uncertainty_score":0.004965067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955427392044469,"score_gpt":0.2612523884012362,"score_spread":0.2316981144807915,"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."}}