{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001051159,0.0002826512,0.0004122111,0.0001408074,0.00007495235,0.000005281196,0.0001599196,0.0001177893,0.00004363972],"category_scores_gemma":[0.00004815304,0.0002687038,0.00013767,0.0001806472,0.00007301234,0.0001423004,0.00002244327,0.0001886891,0.00003842446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124611,"about_ca_system_score_gemma":0.00001979619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002827805,"about_ca_topic_score_gemma":0.000002379863,"domain_scores_codex":[0.9984809,0.000008791638,0.0004838137,0.0002510657,0.0001906193,0.000584857],"domain_scores_gemma":[0.9991531,0.0001101449,0.0001115323,0.0003820418,0.00007387707,0.0001692688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003118523,0.00006192004,0.006207837,0.001679341,0.0006252297,0.00004834109,0.02257376,0.936318,0.003960297,0.004216091,0.0007684267,0.02322887],"study_design_scores_gemma":[0.007734004,0.001859512,0.08906206,0.001065169,0.0002819559,0.0004101845,0.01536578,0.2713216,0.5898049,0.0110171,0.007117601,0.004960166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996653,0.0001886748,0.0001987635,0.00001243989,0.0007618098,0.0004318175,0.00003627873,0.0003568727,0.001360409],"genre_scores_gemma":[0.8934239,0.00002956612,0.1058521,0.000008406456,0.0001533399,0.0000135096,0.000006838881,0.0001037741,0.0004085206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6649964,"threshold_uncertainty_score":0.9999765,"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."}}