{"id":"W2159550040","doi":"10.1364/ol.36.000277","title":"Time-division multiplexing-based BOTDA over 100km sensing length","year":2011,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Optics; Multiplexing; Time domain; Brillouin scattering; Time-division multiplexing; Optical fiber; Fiber optic sensor; Brillouin zone; Physics; Computer science; Telecommunications","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":[0.0004156544,0.0005473726,0.0004043868,0.0004512029,0.0003303268,0.0003460482,0.0006959703,0.0004241143,0.0004611292],"category_scores_gemma":[0.0005229885,0.000287927,0.0001556015,0.0003536735,0.0005391941,0.000697121,0.0005202831,0.0002953781,0.0001531278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007978502,"about_ca_system_score_gemma":0.0003102441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223127,"about_ca_topic_score_gemma":0.002629589,"domain_scores_codex":[0.9995944,0.00004325786,0.00001372033,0.000126009,0.0001835179,0.00003919465],"domain_scores_gemma":[0.9994128,0.0001913873,0.0001704383,0.00008124686,0.00008861773,0.00005542368],"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":[0.00006833275,0.00002273435,0.0006536932,0.00002953699,0.00000672428,0.00007164873,0.00004278668,0.001042385,0.9875936,0.0005329478,0.00008760597,0.009848039],"study_design_scores_gemma":[0.00001751551,0.000218621,0.002023962,0.000006764019,0.00001424959,0.0002380484,0.00002328439,0.05585492,0.9391437,0.0004479211,0.001976191,0.00003490858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332703,0.000516127,0.06276769,0.0001596015,0.00005256373,0.00004375726,0.0001172025,0.0008337891,0.002238982],"genre_scores_gemma":[0.9407972,0.0001748454,0.05779389,0.00005168207,0.00001375799,0.0000404135,0.00005596249,0.00003008781,0.001042081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001223127,"threshold_uncertainty_score":0.005788863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498271170059036,"score_gpt":0.2026662175050014,"score_spread":0.187683505804411,"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."}}