{"id":"W2898768578","doi":"10.1364/ol.43.005496","title":"Brillouin optical time-domain analysis via compressed sensing","year":2018,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Brillouin zone; Reflectometry; Optics; Brillouin scattering; Domain analysis; Time domain; Distributed acoustic sensing; Optical fiber; Fiber optic sensor; Computer science; Frequency domain; Materials science; Physics; Software","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110016,0.0002535273,0.0003605543,0.0002310164,0.00008832958,0.00005867787,0.0001654029,0.00009917388,0.0001014257],"category_scores_gemma":[0.00002507227,0.000283213,0.0001497612,0.0006667002,0.0002285574,0.0001029814,0.00004641516,0.0002058772,0.0005909755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003565,"about_ca_system_score_gemma":0.000004242132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004085275,"about_ca_topic_score_gemma":0.000004818967,"domain_scores_codex":[0.9986162,0.00002541085,0.0002987501,0.0002951431,0.0002598719,0.0005046632],"domain_scores_gemma":[0.9991108,0.0001366956,0.00003715622,0.0005069085,0.00005552335,0.0001529666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001503374,0.0000137792,0.00009719122,0.00001566872,0.0008673668,0.00008955506,0.0003895595,0.2944504,0.700219,0.0001286407,0.001834338,0.001879419],"study_design_scores_gemma":[0.0003463692,0.00002658477,0.0003913971,0.00001422353,0.0003358241,0.00002831853,0.0000312745,0.9686447,0.02720448,0.0000893392,0.002399087,0.0004884107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4566844,0.00001289921,0.5376993,0.0003861027,0.0002226399,0.00008649623,0.00000457155,0.0003422247,0.004561347],"genre_scores_gemma":[0.5688751,0.000003359549,0.429686,0.0008013117,0.0004087955,0.000001498749,0.00002353662,0.00009062898,0.0001097436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6741943,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005889496220112637,"score_gpt":0.2066851485374334,"score_spread":0.2007956523173207,"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."}}