{"id":"W2902575936","doi":"10.1016/j.optcom.2018.11.049","title":"Enhanced stability of higher UV-densified Fiber Bragg Gratings after thermal regeneration","year":2018,"lang":"en","type":"article","venue":"Optics Communications","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Photosensitivity; Fiber Bragg grating; Thermal stability; Optics; Isothermal process; Refractive index; Ultraviolet; Optical fiber; Fiber; Wavelength; Optoelectronics; Composite material","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":[0.000172655,0.0001653137,0.000156088,0.0001964955,0.000180478,0.0003105741,0.0002602048,0.0002655096,0.0008576367],"category_scores_gemma":[0.000251176,0.0001364474,0.0001439725,0.0001297942,0.0002678592,0.0003131841,0.0001528161,0.0002796628,0.0001360613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329097,"about_ca_system_score_gemma":0.0001775683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900432,"about_ca_topic_score_gemma":0.002968414,"domain_scores_codex":[0.9998518,0.000006253514,0.000008910059,0.00004160567,0.00005064059,0.00004066646],"domain_scores_gemma":[0.9998814,0.00001839874,0.00003362906,0.00001640363,0.00003156135,0.00001860098],"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":[0.00006054307,0.000009617155,0.0002357779,0.0000134414,0.000003107354,0.0000206795,0.00003816856,0.0002316239,0.9979554,0.00009020643,0.00003034896,0.001311012],"study_design_scores_gemma":[0.000003462022,0.00002937559,0.001671385,0.000001359554,0.000003293041,0.00002861335,0.00001545746,0.001146396,0.9968029,0.0000135675,0.0002806103,0.000003574903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974077,0.0003197416,0.001435426,0.00002490047,0.00002368244,0.000004282935,0.00005376763,0.00006899734,0.0006614279],"genre_scores_gemma":[0.998399,0.00005247532,0.0007741542,0.00001106759,0.000003282521,0.000002412532,0.00003897129,0.00001080692,0.0007078385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900432,"threshold_uncertainty_score":0.003778756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533171600612227,"score_gpt":0.2623250320826847,"score_spread":0.2369933160765624,"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."}}