{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003584894,0.0005582545,0.0004897472,0.0002224721,0.0001988365,0.0005463127,0.001287448,0.0007447188,0.001927194],"category_scores_gemma":[0.0005724243,0.0002418253,0.0003924349,0.0002407771,0.0003619815,0.0008180482,0.0003921175,0.001133268,0.0005250148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895364,"about_ca_system_score_gemma":0.0004805622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520194,"about_ca_topic_score_gemma":0.004370454,"domain_scores_codex":[0.9998527,0.000030905,0.000006298228,0.00003753876,0.00005049957,0.00002206112],"domain_scores_gemma":[0.9997744,0.00007260601,0.00002041648,0.00002485772,0.000100943,0.000006800973],"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":[0.00009780118,0.00004265334,0.0003271679,0.00006113714,0.00003209281,0.00005534247,0.00003071595,0.9363378,0.01118693,0.009789935,0.0009106319,0.04112781],"study_design_scores_gemma":[0.000001310524,0.000007386418,0.00003348312,0.000001510195,0.000002518131,0.000005644766,7.260887e-7,0.9985275,0.0007463701,0.0004518398,0.0002197128,0.000001933294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0186395,0.000256831,0.975895,0.0001322339,0.00005614513,0.00002520976,0.00008301179,0.0004131397,0.004498868],"genre_scores_gemma":[0.9051275,0.0004158573,0.0784753,0.0001166295,0.00003813718,0.0001219645,0.0002267877,0.00006208864,0.01541582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003520194,"threshold_uncertainty_score":0.006999373,"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."}}