{"id":"W2065866951","doi":"10.1364/ofs.2006.the88","title":"Identification of Damage on Optical Ground Wire Cable Using Distributed Brillouin Fiber Sensor","year":2006,"lang":"en","type":"article","venue":"Optical Fiber Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Materials science; Brillouin zone; Optical fiber; Optical fiber cable; Fiber optic sensor; Fiber; Elongation; Stress (linguistics); Composite material; Layer (electronics); Strain (injury); Optics; Brillouin scattering; Physics; Ultimate tensile strength","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":[0.0001373519,0.0003191884,0.000222602,0.000428814,0.0001812473,0.0001480666,0.000312186,0.0004546996,0.0004235867],"category_scores_gemma":[0.0004546872,0.0001520403,0.00007973077,0.0001909349,0.0003080586,0.0004505487,0.0002344161,0.0002041753,0.0001108861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443491,"about_ca_system_score_gemma":0.0001434128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175559,"about_ca_topic_score_gemma":0.002545214,"domain_scores_codex":[0.9997836,0.00002135542,0.000005270536,0.00005075171,0.0001132557,0.00002586003],"domain_scores_gemma":[0.9995613,0.00008136269,0.0001510634,0.00003174592,0.0001402479,0.00003428633],"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":[0.0001213821,0.00003365338,0.006470702,0.00004354215,0.000004242268,0.0001112478,0.00009924028,0.0007864801,0.980944,0.00005713332,0.00005914661,0.01126926],"study_design_scores_gemma":[0.00002205357,0.0005075737,0.0449221,0.00001418932,0.00001553761,0.0005597642,0.0001749508,0.02141561,0.9316566,0.000119848,0.0005677073,0.00002398183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893388,0.0001535574,0.01004214,0.00004123056,0.000006408759,0.00001049892,0.0000470153,0.00008226424,0.0002780974],"genre_scores_gemma":[0.989641,0.0001056476,0.009491971,0.00001117753,0.00000434299,0.000009051222,0.0000354675,0.000006170873,0.000695063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001175559,"threshold_uncertainty_score":0.002498448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202118730640379,"score_gpt":0.2371974415650937,"score_spread":0.2251762542586899,"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."}}