{"id":"W2614961397","doi":"10.1364/ol.42.002054","title":"56  W monolithic fiber laser at 355  μm","year":2017,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Materials science; Fiber laser; Optics; Fiber Bragg grating; Laser; Fiber; Dispersion-shifted fiber; Wavelength; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001283579,0.0001832746,0.0002035028,0.0001362422,0.0002277908,0.0002211472,0.0004719406,0.0002962047,0.001106068],"category_scores_gemma":[0.0000740814,0.000110237,0.0001351007,0.0001052728,0.0002929335,0.0003364476,0.000223466,0.0002242874,0.0003663789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532549,"about_ca_system_score_gemma":0.0002660392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178591,"about_ca_topic_score_gemma":0.001679191,"domain_scores_codex":[0.9999008,0.000002910916,0.000002280748,0.00003830583,0.0000409407,0.00001484624],"domain_scores_gemma":[0.9999611,0.000007894121,0.00001150467,0.000005315366,0.000007439662,0.000006699864],"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":[0.00004672991,0.00002236706,0.0003746325,0.00002876032,0.000005386051,0.00004313518,0.00003879137,0.0005490407,0.9940389,0.0004949835,0.0001628237,0.004194524],"study_design_scores_gemma":[0.00001916984,0.0002258635,0.003532321,0.000008082977,0.00001686088,0.0001346013,0.00002679249,0.01502059,0.9763756,0.0001513414,0.004469927,0.00001879352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681202,0.0009277369,0.02473003,0.0001277141,0.00004354808,0.00002199396,0.000147724,0.0008766807,0.005004424],"genre_scores_gemma":[0.9882035,0.000100718,0.01005872,0.00002984492,0.000008117966,0.000009337387,0.00004208761,0.00001358145,0.001534131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001178591,"threshold_uncertainty_score":0.004014134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249314271296205,"score_gpt":0.2228924132859608,"score_spread":0.2103992705729988,"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."}}