{"id":"W3028155891","doi":"10.1364/ol.392554","title":"Distributed time delay sensing in a random fiber grating array based on chirped pulse φ-OTDR","year":2020,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Optics; Fiber Bragg grating; Reflectometry; Optical time-domain reflectometer; Materials science; Laser linewidth; Distributed acoustic sensing; Fiber optic sensor; Grating; Fiber laser; Speckle pattern; Laser; Optical fiber; Time domain; Polarization-maintaining optical fiber; Physics; Computer science","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":[0.0001013635,0.0002828822,0.0003265841,0.00008774256,0.00005116346,0.00005178636,0.0001186661,0.00008827123,0.00005590232],"category_scores_gemma":[0.0001945494,0.0003054806,0.00008521226,0.0003693739,0.0000379349,0.00009472836,0.00001466776,0.0004182715,0.0001555828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219556,"about_ca_system_score_gemma":0.00001184454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002836802,"about_ca_topic_score_gemma":0.000001453557,"domain_scores_codex":[0.9986575,0.0000441064,0.0003414578,0.0002955466,0.0002210223,0.0004403738],"domain_scores_gemma":[0.999243,0.0002890511,0.00004893533,0.0002545103,0.00001975764,0.000144704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006805575,0.000008200993,0.00002907777,0.00002483675,0.00001940186,0.0001522847,0.0002616424,0.8497815,0.1487549,0.000003018163,0.0004162926,0.0004807675],"study_design_scores_gemma":[0.002193851,0.00002748195,0.00006848904,0.00007880402,0.00002039344,0.00000681832,0.00002854879,0.9847307,0.01182356,0.000004316336,0.0006481451,0.000368874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7680448,0.00001604675,0.2236018,0.004744303,0.0001846815,0.0004386881,0.00007100261,0.0005612847,0.002337396],"genre_scores_gemma":[0.9153054,0.000002056596,0.0806407,0.003580403,0.0001842326,0.000007274057,0.0001322732,0.0001261862,0.00002148702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1472605,"threshold_uncertainty_score":0.9999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00788024143712284,"score_gpt":0.1947647986826397,"score_spread":0.1868845572455168,"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."}}