{"id":"W3083871923","doi":"10.32894/kujss.2008.42404","title":"Gain and Noise Figure Performance of Erbium-Doped Fiber Amplifiers","year":2008,"lang":"en","type":"article","venue":"Kirkuk University Journal-Scientific Studies","topic":"Optical Network Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical amplifier; Noise figure; Optical fiber; Computer science; Amplifier; Noise (video); Wavelength-division multiplexing; Erbium; Fiber; Erbium doped fiber amplifier; Electronic engineering; Telecommunications; Optics; Optoelectronics; Materials science; Doping; Engineering; Physics; Bandwidth (computing); Laser; Wavelength","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002061719,0.0001499519,0.0002684837,0.000265594,0.0007871773,0.00003665185,0.0002536363,0.00007319811,0.00004513482],"category_scores_gemma":[0.00007117864,0.0001411347,0.00006596935,0.0005112621,0.001142978,0.0002657811,0.0001680592,0.0002885893,0.00002752461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059245,"about_ca_system_score_gemma":0.000024866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001408977,"about_ca_topic_score_gemma":0.000003721339,"domain_scores_codex":[0.9991102,0.00002010416,0.0001742689,0.0001807553,0.0002203292,0.0002943228],"domain_scores_gemma":[0.9993746,0.00008770474,0.00006383425,0.0002072513,0.0001844006,0.00008225608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003257155,0.0003275128,0.1014324,0.001520809,0.003206856,0.001352934,0.0270396,0.1106325,0.01981417,0.003246634,0.6884376,0.04266327],"study_design_scores_gemma":[0.009284323,0.001389307,0.1553833,0.002415206,0.001218664,0.002168741,0.0827698,0.06874518,0.03932858,0.00182856,0.6306607,0.004807593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939865,0.002506718,0.0001244116,0.0001082442,0.0004234388,0.00007543746,0.000007077128,0.0001525744,0.002615637],"genre_scores_gemma":[0.9871392,0.004610682,0.002377331,0.000005010148,0.00002861732,2.293427e-7,9.381119e-7,0.00001077753,0.005827193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05777695,"threshold_uncertainty_score":0.6054411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288594975136015,"score_gpt":0.1997153830403155,"score_spread":0.1768294332889554,"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."}}