{"id":"W2030533103","doi":"10.1364/ao.45.003307","title":"Full vectorial modal analysis of specialty fibers and their Bragg grating characterization","year":2006,"lang":"en","type":"article","venue":"Applied Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Genia Photonics (Canada); University of Toronto","funders":"","keywords":"Optics; Fiber Bragg grating; Modal; Optical fiber; Concentric; Refractive index; Graded-index fiber; Photonic-crystal fiber; Grating; Refractive index profile; Materials science; Physics; Fiber optic sensor; Mathematics","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":[0.00005146883,0.000146326,0.0002711195,0.0001366025,0.00003522187,0.00001952424,0.00005967274,0.00008458289,0.00001113791],"category_scores_gemma":[0.000007571218,0.0001475222,0.00004807336,0.0004654192,0.00003990122,0.00005604742,0.0000184996,0.00009014495,0.000001627042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003468329,"about_ca_system_score_gemma":0.000005203291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005211869,"about_ca_topic_score_gemma":0.00002572534,"domain_scores_codex":[0.999305,0.000004877918,0.000270148,0.0001487711,0.0001031312,0.0001681438],"domain_scores_gemma":[0.9996297,0.00007103961,0.00007093936,0.0001664174,0.00002800247,0.0000338542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003771364,0.00002340049,0.0004283537,0.00003746369,0.0003487054,0.000001224439,0.0006989274,0.3889295,0.592621,0.01332391,0.00001411335,0.003535739],"study_design_scores_gemma":[0.0008423674,0.00004847648,0.02064227,0.00001342876,0.0005600695,0.000002523495,0.0003005268,0.889299,0.08557206,0.00157355,0.0005408243,0.0006048781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292658,0.00001381783,0.0675924,0.000005386194,0.0002112967,0.000113339,0.00005375043,0.0001058251,0.00263842],"genre_scores_gemma":[0.989551,0.00001733306,0.009818098,0.000005799246,0.0003836979,0.000005574091,0.0001713869,0.00003030638,0.00001680525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5070489,"threshold_uncertainty_score":0.601578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004531671800746987,"score_gpt":0.1802326521770937,"score_spread":0.1757009803763467,"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."}}