{"id":"W2422509535","doi":"10.1109/lpt.2016.2580582","title":"Bragg Grating Embedded in Mach-Zehnder Interferometer for Refractive Index and Temperature Sensing","year":2016,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Microfiber; Materials science; Fiber Bragg grating; Optics; Refractive index; Interferometry; Mach–Zehnder interferometer; Temperature measurement; PHOSFOS; Graded-index fiber; Optical fiber; Optoelectronics; Fiber optic sensor; Physics; Wavelength","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":[0.0001041439,0.0002671012,0.0003062642,0.0005174545,0.00004915489,0.00002118493,0.0001457403,0.0003903813,0.000002920563],"category_scores_gemma":[0.0001052908,0.0002283598,0.00004317669,0.0003197336,0.0001692718,0.0001838424,0.00003914089,0.0005009444,0.000003588422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168936,"about_ca_system_score_gemma":0.000008618716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000281805,"about_ca_topic_score_gemma":0.00002700178,"domain_scores_codex":[0.9987274,0.00001443803,0.0003058207,0.0003921032,0.00008144165,0.0004787295],"domain_scores_gemma":[0.9993011,0.0002215527,0.00006391222,0.0003375985,0.00003504218,0.000040743],"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":[0.00002787545,0.000005649251,0.0003251368,0.00002285047,0.00005204714,0.00003239831,0.0002570112,0.0009545709,0.9926816,0.00003534709,0.000200532,0.00540497],"study_design_scores_gemma":[0.00210767,0.00007305798,0.0002562769,0.000248754,0.00002343514,0.0001840549,0.0003981479,0.02578647,0.9672806,0.002397667,0.0005901941,0.0006536904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706627,0.00009205082,0.0260874,0.001886803,0.0003584697,0.0003826382,0.0000176344,0.0004836308,0.00002865147],"genre_scores_gemma":[0.9806964,0.00003123201,0.01854879,0.0005526788,0.00002426299,0.00004191713,0.000001488103,0.00008163066,0.0000215878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540103,"threshold_uncertainty_score":0.9312241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006188802182916752,"score_gpt":0.2222720807560189,"score_spread":0.2160832785731021,"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."}}