{"id":"W2333201884","doi":"10.1364/acpc.2015.as3b.4","title":"Performance Measurements of Silicon Photonic Optical Add-Drop Multiplexers using Angled Fiber Couplers","year":2015,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Multiplexer; Photonics; Optical add-drop multiplexer; Interferometry; Materials science; Optics; Drop (telecommunication); Silicon photonics; Fiber Bragg grating; Optical fiber; Silicon; Wavelength-division multiplexing; Optoelectronics; Multiplexing; Optical performance monitoring; Physics; Telecommunications; Computer science; Wavelength","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":[0.0006700608,0.0006764605,0.0003038574,0.0005506917,0.0003555096,0.0004715206,0.0005911069,0.0005383926,0.0009964871],"category_scores_gemma":[0.001350463,0.0003439419,0.0001613481,0.0004193362,0.0003432362,0.0007056269,0.0003106955,0.000277216,0.0002593122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005644576,"about_ca_system_score_gemma":0.0002031035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000899896,"about_ca_topic_score_gemma":0.001133642,"domain_scores_codex":[0.9989574,0.00009703985,0.00007139891,0.0002186754,0.000547261,0.000108073],"domain_scores_gemma":[0.9988512,0.0003976591,0.0003506489,0.0001070091,0.000228265,0.00006526493],"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":[0.0004127941,0.0001073151,0.004180794,0.0000373509,0.00001966059,0.00007344347,0.0001260106,0.00139272,0.9883128,0.0001154157,0.00007624854,0.005145322],"study_design_scores_gemma":[0.00002166569,0.0005929661,0.006196091,0.000003860631,0.00002143173,0.00006935614,0.00002781941,0.01082093,0.9818542,0.00003046362,0.0003475337,0.00001370847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961507,0.0001198495,0.002898068,0.00002516214,0.00001498785,0.00001903004,0.0001315812,0.0001149704,0.0005256431],"genre_scores_gemma":[0.9951625,0.0001165116,0.003938264,0.00001543552,0.00001224411,0.0000187909,0.00008668693,0.00001287383,0.000636671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009964871,"threshold_uncertainty_score":0.004095435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06504739602366647,"score_gpt":0.254919105292259,"score_spread":0.1898717092685926,"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."}}