{"id":"W2075610169","doi":"10.1109/lpt.2005.848400","title":"Distributed sensor based on dark-pulse Brillouin scattering","year":2005,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Brillouin scattering; Brillouin zone; Pulse (music); Optics; Distributed acoustic sensing; Image resolution; Fiber optic sensor; Materials science; Optical fiber; Scattering; Resolution (logic); Physics; Computer science; Detector","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":[0.0001103776,0.0003781939,0.0003306876,0.0004762108,0.00009156671,0.0000245328,0.0003980888,0.0003104898,0.0000323842],"category_scores_gemma":[0.00005268427,0.000433992,0.00009658692,0.0005892401,0.0002187956,0.00009887955,0.00003105336,0.0006803873,0.0002523818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089789,"about_ca_system_score_gemma":0.00001140198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002813131,"about_ca_topic_score_gemma":0.000004621455,"domain_scores_codex":[0.9982445,0.00001703313,0.0003754216,0.0004464457,0.0002054485,0.0007111588],"domain_scores_gemma":[0.9988438,0.0001008149,0.00006251405,0.000875407,0.00002781843,0.00008959955],"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":[0.0000127958,0.00002298717,0.0002002872,0.00001663123,0.00003358553,0.00006635201,0.00001888447,0.5829207,0.4117025,0.00002669859,0.001970004,0.003008627],"study_design_scores_gemma":[0.0009097357,0.00004360753,0.0001527017,0.00005969006,0.00002920144,0.00007265109,0.00003300288,0.4338282,0.5383428,0.00004959138,0.0258012,0.0006775515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392597,0.00005177428,0.04733427,0.009130782,0.0005489404,0.00030315,0.00008156279,0.002881301,0.0004085127],"genre_scores_gemma":[0.9735871,0.00001715833,0.02317261,0.002941865,0.00006222261,0.00005741122,0.00002367891,0.0001223218,0.00001561369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1490925,"threshold_uncertainty_score":0.9998112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006241536979734985,"score_gpt":0.2105883125666348,"score_spread":0.2043467755868998,"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."}}