{"id":"W4399801178","doi":"10.1109/jlt.2024.3416867","title":"Calibration of a High-Resolution Slow-Light Fiber-Bragg-Grating Sensor for Temperature Measurements of Laser-Cooled Fibers","year":2024,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fiber Bragg grating; Materials science; Optics; Calibration; Optical fiber; Temperature measurement; PHOSFOS; Fiber optic sensor; Fiber laser; Laser; Resolution (logic); Optoelectronics; Polarization-maintaining optical fiber; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816093,0.001137146,0.0009145156,0.001064446,0.0004685198,0.0006132089,0.001661454,0.0011752,0.0008021806],"category_scores_gemma":[0.00240167,0.0006769565,0.0004592812,0.0007948751,0.0005655874,0.000833623,0.0005833041,0.0007858396,0.0007245361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007410206,"about_ca_system_score_gemma":0.0005897754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190764,"about_ca_topic_score_gemma":0.001998971,"domain_scores_codex":[0.9966515,0.0006237244,0.0001741662,0.0007865652,0.001642515,0.0001215281],"domain_scores_gemma":[0.9984936,0.0004403953,0.0002246584,0.0002952618,0.0004787501,0.00006739065],"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":[0.0001098523,0.00007777851,0.002227236,0.00005523138,0.0000246047,0.0000385112,0.00007481634,0.001173142,0.9858915,0.0001494475,0.0001365671,0.01004135],"study_design_scores_gemma":[0.00001640841,0.0001870948,0.006025078,0.00001085491,0.00002455608,0.0002551736,0.00003900571,0.03766833,0.9544859,0.0001173286,0.001127695,0.00004253505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455454,0.001363088,0.4464241,0.0001717069,0.0003044911,0.0003919697,0.0006040914,0.003127985,0.002067248],"genre_scores_gemma":[0.7326923,0.0005461407,0.2641937,0.0001363749,0.00004050975,0.0003562747,0.0004157317,0.0001714678,0.001447529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001816093,"threshold_uncertainty_score":0.009604514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224408710237319,"score_gpt":0.2348726690025442,"score_spread":0.222628581900171,"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."}}