{"id":"W2062664145","doi":"10.1117/12.566897","title":"Hydrogen-loaded fiber Bragg grating for high-temperature sensor applications","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Fiber Bragg grating; Materials science; Grating; PHOSFOS; Optics; Refractive index; Fiber optic sensor; Long-period fiber grating; Optoelectronics; Temperature measurement; Optical fiber; Graded-index fiber; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000246641,0.0003414169,0.000368667,0.0001927046,0.0001874257,0.0002440743,0.0005130559,0.0005302239,0.001101579],"category_scores_gemma":[0.0002234064,0.0001993509,0.0002187183,0.0002453037,0.0002021512,0.0004276359,0.000161523,0.0003291326,0.0003780114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346387,"about_ca_system_score_gemma":0.000179156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008536877,"about_ca_topic_score_gemma":0.001962695,"domain_scores_codex":[0.9997426,0.00003017839,0.00001198115,0.00005259537,0.0001404532,0.00002207201],"domain_scores_gemma":[0.999836,0.00003638536,0.0000358607,0.00002432369,0.00005116806,0.00001623583],"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":[0.00003225608,0.00001518919,0.0002396087,0.00003999702,0.000004283467,0.0000210752,0.000009584804,0.0002083683,0.9962578,0.00006923491,0.0000577469,0.003044874],"study_design_scores_gemma":[0.000004189587,0.0001330521,0.001541909,0.000002891153,0.000009951945,0.000103681,0.00000774188,0.003378006,0.9935489,0.00003819769,0.001225113,0.000006312691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607708,0.007951195,0.1255283,0.0002785505,0.0001566741,0.00011724,0.0003683563,0.0008522206,0.003976572],"genre_scores_gemma":[0.9015048,0.001864078,0.09353746,0.0001093792,0.00003413642,0.0000405626,0.0003328756,0.00006796061,0.002508596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001101579,"threshold_uncertainty_score":0.003685176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007921633688626972,"score_gpt":0.2180030484884968,"score_spread":0.2100814147998699,"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."}}