{"id":"W2014787092","doi":"10.1364/oe.14.002071","title":"How to obtain high spectral resolution of SBS-based distributed sensing by using nanosecond pulses","year":2006,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Brillouin scattering; Optics; Laser linewidth; Nanosecond; Brillouin zone; Materials science; Image resolution; Resolution (logic); Spectral resolution; Pulse (music); Scattering; Optical fiber; Physics; Laser; Spectral line; 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":[0.00005913358,0.0002176049,0.0002610439,0.0000946314,0.0000582875,0.00006009449,0.0001151715,0.0001143833,0.000006549656],"category_scores_gemma":[0.0000536987,0.000254937,0.00005479588,0.0002454003,0.0000538868,0.0001377532,0.00002464202,0.0001320941,0.00000208773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838365,"about_ca_system_score_gemma":0.00001376796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006773518,"about_ca_topic_score_gemma":0.0000127668,"domain_scores_codex":[0.9988537,0.0000215041,0.0002713488,0.0002281037,0.000209673,0.0004156924],"domain_scores_gemma":[0.9993523,0.00009120687,0.00006622978,0.0003216054,0.00008457636,0.0000840768],"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":[0.00001009101,0.0000128698,0.00001823903,0.00002957075,0.00000880027,0.000008684324,0.00001869987,0.521296,0.4779038,0.0001528337,0.0004276671,0.0001127897],"study_design_scores_gemma":[0.0003773585,0.00002886916,0.00009346383,0.0000683072,0.00002402319,0.000006342108,0.00006455541,0.3396176,0.6582001,0.0001770619,0.001051888,0.0002903377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6362501,0.00009108021,0.3627697,0.00004965898,0.000171131,0.0001436626,0.0002331696,0.0001267811,0.0001647582],"genre_scores_gemma":[0.8453404,0.000002172988,0.154269,0.000009624944,0.00009718129,0.000001818827,0.000125787,0.00005513338,0.0000988339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2090904,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009169241149302471,"score_gpt":0.2099149314452945,"score_spread":0.200745690295992,"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."}}