{"id":"W4377082049","doi":"10.1364/ofc.2023.m2e.2","title":"Auxiliary Neural Network Assisted Machine Learning EDFA Gain Model","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Artificial neural network; Computer science; Mean squared error; Optical amplifier; Erbium doped fiber amplifier; Artificial intelligence; Mathematics; Statistics; Physics","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":[0.0001632106,0.0001709717,0.0001807382,0.00008224209,0.00008359968,0.00003559694,0.0002097371,0.0001472858,0.00006310923],"category_scores_gemma":[0.00006659685,0.000156498,0.00006183727,0.0007199519,0.0000404236,0.00008794941,0.0001585784,0.0004975065,0.0002962676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003431974,"about_ca_system_score_gemma":0.000004578124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005066306,"about_ca_topic_score_gemma":0.00001753577,"domain_scores_codex":[0.9989371,0.00001779367,0.0001891742,0.0001797695,0.0001355013,0.0005407125],"domain_scores_gemma":[0.9995592,0.0001193557,0.00001210397,0.0002338037,0.0000133463,0.00006216363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002450132,0.000003393238,0.0009137075,0.00001313438,0.00001743076,0.00001579904,0.000007980021,0.9650359,0.0001957309,0.002834808,0.01609411,0.01486556],"study_design_scores_gemma":[0.0001058622,0.00001705268,0.0009284769,0.00001070969,0.00000734007,0.000003321912,0.00001842941,0.9959237,0.00005222746,0.001636744,0.00110769,0.0001884497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7464724,0.001399981,0.07676347,0.002167553,0.001362014,0.0005137122,0.00001025582,0.06908648,0.1022242],"genre_scores_gemma":[0.9788798,0.0001411231,0.01763431,0.00007404433,0.0001192903,0.00001978051,0.00002974526,0.00006438595,0.003037512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2324074,"threshold_uncertainty_score":0.6381805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148169116470084,"score_gpt":0.2249744489045576,"score_spread":0.2034927577398567,"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."}}