{"id":"W4294786705","doi":"10.1364/ol.469636","title":"Femtosecond inscription of large-area fiber Bragg gratings for high-power cladding pump reflection","year":2022,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; TeraXion (Canada)","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Fiber Bragg grating; Materials science; Optics; Cladding (metalworking); PHOSFOS; Fiber laser; Plastic-clad silica fiber; Graded-index fiber; Polarization-maintaining optical fiber; Plastic optical fiber; Long-period fiber grating; Dispersion-shifted fiber; Photonic-crystal fiber; Optical fiber; Optoelectronics; Fiber optic sensor; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571215,0.0001672509,0.0001974485,0.0001566978,0.0001662169,0.00002143323,0.0001226838,0.00005515232,0.0003197933],"category_scores_gemma":[0.00004093748,0.0002063304,0.00007839012,0.0002364964,0.0000242663,0.0001721826,0.00004786265,0.0002636219,0.000007347995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193774,"about_ca_system_score_gemma":0.000006940046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003218895,"about_ca_topic_score_gemma":0.000002860112,"domain_scores_codex":[0.998935,0.00001939586,0.0003063887,0.0002152647,0.0002031146,0.0003208623],"domain_scores_gemma":[0.9995061,0.00008382089,0.00009519813,0.0002323317,0.00003987782,0.00004270776],"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":[0.00004115631,0.00003286194,0.00006628819,0.00008864514,0.00009109809,0.000005957629,0.001248598,0.3688542,0.6207424,0.001675008,0.006613797,0.0005400002],"study_design_scores_gemma":[0.00941692,0.001387031,0.002713988,0.0002081441,0.0004234707,0.0001581577,0.005299545,0.3879991,0.3924661,0.002725459,0.1935574,0.003644761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562245,0.00002698265,0.04066591,0.0003669678,0.001024094,0.0003068213,0.00009322218,0.0001969786,0.00109455],"genre_scores_gemma":[0.96601,0.000004243447,0.03266618,0.0005789612,0.00007517241,0.0001022654,0.00008170334,0.00008635502,0.00039513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2282763,"threshold_uncertainty_score":0.841391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123279880633301,"score_gpt":0.2307591170575605,"score_spread":0.2184311289942304,"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."}}