{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102539,0.0001160337,0.0001555879,0.00006802943,0.0000185836,0.000062352,0.0001291367,0.000109293,0.0001335556],"category_scores_gemma":[0.00001301927,0.000111001,0.00002619742,0.0002211273,0.00002362862,0.0001737797,0.000027298,0.00009573156,0.00001387155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007211261,"about_ca_system_score_gemma":0.00003491436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001097081,"about_ca_topic_score_gemma":0.00003730198,"domain_scores_codex":[0.9993084,0.000006265529,0.0002847794,0.0001690608,0.00007576418,0.0001557104],"domain_scores_gemma":[0.9997503,0.00002679056,0.00002105356,0.0001439234,0.00003278762,0.00002519737],"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":[0.00006076644,0.0001340143,0.00008470337,0.001339806,0.0000846694,0.000001072975,0.0006037829,0.0008106669,0.6953806,0.00401031,0.2800858,0.01740383],"study_design_scores_gemma":[0.0002601719,0.00006448461,0.000002102336,0.0001078739,0.00001313642,4.205981e-7,0.00002685366,0.03282975,0.8839355,0.003821953,0.07875984,0.0001779866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5431579,0.0006514115,0.4435269,0.0004604487,0.0008398761,0.002100776,0.0003949259,0.001949,0.006918815],"genre_scores_gemma":[0.9912007,0.00002233911,0.006980594,0.00003486897,0.0001004173,0.0004101868,0.0001131727,0.00004006786,0.001097652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4480428,"threshold_uncertainty_score":0.4526489,"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."}}