{"id":"W2074973648","doi":"10.1364/ao.41.001654","title":"Analysis of chirped-sampled and sampled-chirped fiber Bragg gratings","year":2002,"lang":"en","type":"article","venue":"Applied Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chirp; Fiber Bragg grating; Optics; Materials science; PHOSFOS; Dispersion (optics); Grating; Physics; Optical fiber; Fiber optic sensor; Dispersion-shifted fiber; Laser","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":[0.0001711381,0.0002246163,0.0001956309,0.0004762745,0.0001180224,0.0002294058,0.0002812717,0.000280821,0.0007788262],"category_scores_gemma":[0.0006782432,0.0001093171,0.0001924072,0.0002593738,0.0003603613,0.0002927188,0.0001100631,0.0001643131,0.00007771154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763432,"about_ca_system_score_gemma":0.0001287316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365992,"about_ca_topic_score_gemma":0.001223861,"domain_scores_codex":[0.9998611,0.00001132337,0.000004162557,0.00002023531,0.00008639107,0.00001676258],"domain_scores_gemma":[0.9997308,0.0001031829,0.00004619571,0.00002534111,0.00007404031,0.000020439],"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":[0.0005042697,0.00009187946,0.005202267,0.0001436174,0.00007492042,0.0005846689,0.0001731887,0.02470874,0.9423261,0.004684054,0.0003649365,0.02114133],"study_design_scores_gemma":[0.00003235193,0.0002258309,0.03436945,0.00002238921,0.00003658574,0.0008776619,0.0001322593,0.6669726,0.2924649,0.003211083,0.001610032,0.00004498373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768523,0.0003709454,0.01930064,0.00006086383,0.00001753826,0.00002212402,0.0001176205,0.000129132,0.003128769],"genre_scores_gemma":[0.9947132,0.0001299195,0.004259137,0.00002167817,0.000007290379,0.000007037294,0.0001190994,0.00002001739,0.0007224793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001365992,"threshold_uncertainty_score":0.002730548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348149234572649,"score_gpt":0.2107947055317669,"score_spread":0.1973132131860404,"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."}}