{"id":"W4285676393","doi":"10.1117/12.2630688","title":"Tunable fibre Bragg grating arrays for spectral cross-correlation","year":2022,"lang":"en","type":"article","venue":"Ground-based and Airborne Instrumentation for Astronomy IX","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Fiber Bragg grating; Femtosecond; Materials science; Laser; Photonics; Optical fiber; Optoelectronics; 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":[0.0002506827,0.0002738303,0.0002563054,0.0004452099,0.000148738,0.0002832923,0.0004440816,0.0003793994,0.0009622579],"category_scores_gemma":[0.0003612762,0.000226051,0.0001418858,0.0005045225,0.00022358,0.0003546718,0.0002580155,0.0003413377,0.000328593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004234904,"about_ca_system_score_gemma":0.0001485739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008702257,"about_ca_topic_score_gemma":0.002716718,"domain_scores_codex":[0.9995147,0.00005737594,0.00002002343,0.0001187055,0.0002494102,0.00003986204],"domain_scores_gemma":[0.9997206,0.00007489645,0.00006570911,0.00005163591,0.0000703779,0.00001666684],"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":[0.00003695211,0.00002384286,0.0002147616,0.00002046115,0.000008145708,0.00001719308,0.00001951783,0.0008872141,0.9863865,0.0003239144,0.0001200975,0.0119414],"study_design_scores_gemma":[0.00001078658,0.0001057974,0.00176974,0.000004106806,0.0000102333,0.00008281846,0.00001218317,0.01934784,0.9761083,0.0001338132,0.002397886,0.00001652109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7633847,0.003028273,0.2234605,0.0002179239,0.0001912461,0.0001144174,0.0004191274,0.001539875,0.007643834],"genre_scores_gemma":[0.8485879,0.0005499276,0.1472546,0.00009686418,0.00004094793,0.0000695178,0.0001891094,0.00006330995,0.003147765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009622579,"threshold_uncertainty_score":0.003219068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007379813862384,"score_gpt":0.2363356505953311,"score_spread":0.2262618524567073,"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."}}