{"id":"W4403029216","doi":"10.1364/bgpp.2024.bm1a.2","title":"Throughput Enhancement of Type-A Volume Bragg Gratings Inscribed by Femtosecond Laser in Burst Mode for Industrial Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Femtosecond; Inscribed figure; Throughput; Materials science; Laser; Burst mode (computing); Optics; Optoelectronics; Volume (thermodynamics); Fiber Bragg grating; Computer science; Electronic engineering; Physics; Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001418235,0.0003119448,0.0002483167,0.0002154967,0.0001486246,0.0003209799,0.0002206013,0.0001888181,0.0007672003],"category_scores_gemma":[0.000158108,0.0001138698,0.0001360423,0.0002285317,0.0001590966,0.0002379384,0.000154395,0.0002039008,0.0001860703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154947,"about_ca_system_score_gemma":0.0001638802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127201,"about_ca_topic_score_gemma":0.001784808,"domain_scores_codex":[0.9998847,0.000009748271,0.000006033969,0.0000239802,0.00004341521,0.00003211527],"domain_scores_gemma":[0.999846,0.00004634521,0.0000373516,0.00001486966,0.00002810293,0.00002730407],"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":[0.0001159766,0.00002087011,0.0003063628,0.00001616556,0.000003200016,0.00002999097,0.00002439232,0.0002524168,0.9957372,0.00006164996,0.00006970483,0.003361988],"study_design_scores_gemma":[0.000002746332,0.00009864812,0.001171221,6.596767e-7,0.000003779416,0.00002216235,0.00000991854,0.001886867,0.9964644,0.00001712525,0.0003194797,0.000002914035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919156,0.0005061483,0.005551701,0.00005098328,0.00003014578,0.000007813843,0.00009425236,0.0003490121,0.001494211],"genre_scores_gemma":[0.9941275,0.0002115193,0.004269426,0.00001305242,0.00001306356,0.000007203989,0.00008689956,0.00003400771,0.00123739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001127201,"threshold_uncertainty_score":0.002566516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878309324156937,"score_gpt":0.2667852548320946,"score_spread":0.2480021615905252,"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."}}