{"id":"W2167075232","doi":"10.1109/jlt.2003.814393","title":"Simple and highly sensitive method for wavelength measurement of low-power time-multiplexed signals using optical amplifiers","year":2003,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optical amplifier; Multiplexing; Duty cycle; Amplified spontaneous emission; Amplifier; SIGNAL (programming language); Wavelength-division multiplexing; Optics; Filter (signal processing); Noise (video); Optical filter; Physics; Wavelength; Power (physics); Computer science; Optoelectronics; Telecommunications; Electrical engineering; Engineering; Laser; CMOS","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":[0.0007490971,0.0002288973,0.0006712313,0.0004890342,0.00004536256,0.000009318818,0.0001176648,0.0003847774,0.000009456192],"category_scores_gemma":[0.0008384243,0.00020747,0.000124267,0.0002777069,0.0001305426,0.0001025183,0.00002453127,0.0004174109,0.00000169597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993915,"about_ca_system_score_gemma":0.00005374831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.280559e-7,"about_ca_topic_score_gemma":6.238603e-7,"domain_scores_codex":[0.9984031,0.00004844585,0.0007200479,0.0001773219,0.00028542,0.000365687],"domain_scores_gemma":[0.9984355,0.0003517063,0.0002892715,0.0002006377,0.0006160313,0.0001068293],"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":[0.00005581081,0.00003928014,0.00002670014,0.00004670569,0.0002908312,0.00003044729,0.0001156429,0.01015022,0.9836583,0.004043055,0.00008024992,0.001462821],"study_design_scores_gemma":[0.001309445,0.0003200903,0.00004160247,0.0001020197,0.0001198265,0.0004854807,0.000381372,0.02089162,0.9692177,0.005594478,0.001288545,0.0002478478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4001356,0.0002481323,0.5988147,0.0001219441,0.0001482152,0.0002704195,0.000009394371,0.00007358538,0.0001780017],"genre_scores_gemma":[0.6431427,0.00001981592,0.3567565,0.00001556042,0.00002100401,0.000001979938,2.907146e-7,0.00003623248,0.000005856762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2430071,"threshold_uncertainty_score":0.8460382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859055086169954,"score_gpt":0.2671070343298837,"score_spread":0.2485164834681842,"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."}}