{"id":"W2594142039","doi":"10.1117/12.2251037","title":"High-resolution fast temperature mapping of a gas turbine combustor simulator with femtosecond infrared laser written fiber Bragg gratings","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Combustor; Fiber Bragg grating; Thermocouple; Femtosecond; Materials science; Temperature measurement; Laser; Optics; Fabrication; Infrared; Aerospace engineering; Environmental science; Combustion; Engineering; Physics","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":[0.0001299287,0.000157683,0.0001433283,0.0001742046,0.0001008865,0.0001639215,0.0002087495,0.0002034144,0.0003905735],"category_scores_gemma":[0.0002643144,0.0001531379,0.00009700693,0.0001065177,0.0002266266,0.0002506528,0.0001747202,0.0002198619,0.00009037531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326726,"about_ca_system_score_gemma":0.0001641502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007922145,"about_ca_topic_score_gemma":0.002056445,"domain_scores_codex":[0.9999222,0.000007496397,0.000003058769,0.00001852072,0.00003846666,0.00001023843],"domain_scores_gemma":[0.999841,0.00005252075,0.0000343734,0.00002340274,0.00003224462,0.00001646032],"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":[0.00003043724,0.000006438659,0.0003873632,0.000008829235,0.000001507971,0.00002587095,0.00003467377,0.0003593192,0.9970647,0.00003954186,0.00002840571,0.002012879],"study_design_scores_gemma":[0.000003704583,0.00009163987,0.003421256,0.000002144367,0.000002925679,0.00006586983,0.00002151111,0.004950772,0.9908947,0.00002087266,0.0005195595,0.000005133747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866377,0.0001700859,0.01209295,0.00004893637,0.00001595197,0.00001332937,0.00007091183,0.0001661705,0.0007838879],"genre_scores_gemma":[0.9735952,0.0001162847,0.02499719,0.00002498752,0.000005254062,0.00001230701,0.00006556186,0.0000358426,0.00114741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007922145,"threshold_uncertainty_score":0.001688123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008246492900441904,"score_gpt":0.2077743382093261,"score_spread":0.1995278453088842,"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."}}