{"id":"W2081651953","doi":"10.1117/12.629162","title":"Experimental validation of concept for real-time wavelength monitoring and tracking in densely populated WDM networks","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wavelength-division multiplexing; Real-time computing; Testbed; Optical performance monitoring; Tracking (education); Telecommunications network; Key (lock); Electronic engineering; Wavelength; Embedded system; Computer network; Engineering; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004420335,0.0002539336,0.0004196376,0.0001016862,0.00004836293,0.00004854981,0.0004808343,0.0001715336,0.000004067118],"category_scores_gemma":[0.0001570275,0.0002544725,0.0002403836,0.0002288307,0.0001045382,0.0005439262,0.00008369173,0.0002169592,1.901373e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002522379,"about_ca_system_score_gemma":0.00001116066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001007248,"about_ca_topic_score_gemma":1.099063e-7,"domain_scores_codex":[0.9983019,3.203937e-8,0.0008319045,0.0002437772,0.0003213559,0.0003010028],"domain_scores_gemma":[0.9987556,0.000196704,0.0002887337,0.0000673955,0.0006188503,0.00007276867],"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":[0.00007110709,0.00007718273,0.0005111619,0.0003053353,0.0002140407,2.589393e-8,0.001021779,0.0319166,0.9391603,0.02541876,0.0001402118,0.001163515],"study_design_scores_gemma":[0.0009759295,0.00009421048,0.0006573501,0.0003510411,0.00003711059,0.000006148972,0.001079579,0.3596553,0.6365961,0.00009576439,0.000226831,0.0002245895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980271,0.0003933039,0.000163903,0.0001297418,0.0001382503,0.0006902994,0.00002185643,0.0001033609,0.0003321859],"genre_scores_gemma":[0.9286898,0.0001340939,0.07070702,0.000004173301,0.0002064444,0.0001581759,0.00001033068,0.00006250157,0.00002749446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3277387,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616969096495224,"score_gpt":0.259657444454009,"score_spread":0.2434877534890567,"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."}}