{"id":"W2117380334","doi":"10.1109/lpt.2005.857980","title":"Characterization of the growths of UV-induced birefringence in effective mode index and index modulation in fiber Bragg gratings","year":2005,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Fiber Bragg grating; Materials science; Optics; Birefringence; PHOSFOS; Polarization mode dispersion; Polarization (electrochemistry); Optoelectronics; Graded-index fiber; Refractive index; Single-mode optical fiber; Long-period fiber grating; Polarization-maintaining optical fiber; Photonic-crystal fiber; Optical fiber; Fiber optic sensor; Physics; Wavelength; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00008507165,0.0001460675,0.0002269043,0.0004366079,0.00001635434,0.000003245713,0.0001628747,0.0002252691,0.000001179028],"category_scores_gemma":[0.00003799883,0.0001438656,0.00002380795,0.000709311,0.0001131404,0.0001597505,0.00003614265,0.000365485,7.279401e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359555,"about_ca_system_score_gemma":0.00000761407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003172684,"about_ca_topic_score_gemma":0.0001328464,"domain_scores_codex":[0.9991305,0.00002050158,0.0003503049,0.0001962386,0.000107997,0.0001944194],"domain_scores_gemma":[0.9995317,0.00004682202,0.0001305,0.0002550976,0.00002309777,0.00001275102],"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":[0.000008724317,0.00001255431,0.02645018,0.000026324,0.000008527224,9.608974e-7,0.0003646553,0.1606703,0.8084223,0.00003766022,2.685214e-7,0.003997594],"study_design_scores_gemma":[0.0003475535,0.00001055084,0.09574679,0.00006010038,0.000002928975,0.000003911269,0.00001528633,0.3214115,0.5821527,0.0001483558,0.000003489591,0.00009680282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959165,0.00001326143,0.003106442,0.0003296559,0.00007524378,0.0004523227,0.000004707862,0.00008483588,0.00001706797],"genre_scores_gemma":[0.9991993,0.00001409666,0.0006405317,0.00005744096,0.000005987261,0.00005282463,0.000001257748,0.00002691895,0.000001584851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262696,"threshold_uncertainty_score":0.586667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003919790273260389,"score_gpt":0.2047802248463759,"score_spread":0.2008604345731155,"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."}}