{"id":"W4391086539","doi":"10.23919/ofc49934.2023.10117258","title":"Auxiliary Neural Network Assisted Machine Learning EDFA Gain Model","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Artificial neural network; Erbium doped fiber amplifier; Artificial intelligence; Optical amplifier; 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":[0.000357694,0.0005558049,0.0004842572,0.0002228233,0.0001958875,0.0005364356,0.001276607,0.0007501746,0.001920995],"category_scores_gemma":[0.0005771409,0.0002450377,0.0003898364,0.0002405199,0.0003596773,0.0008035696,0.0003894891,0.001136613,0.0005297182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004910336,"about_ca_system_score_gemma":0.0004911057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628166,"about_ca_topic_score_gemma":0.004468033,"domain_scores_codex":[0.999853,0.00003047193,0.000006302611,0.00003777493,0.00005056793,0.00002184591],"domain_scores_gemma":[0.9997703,0.00007384804,0.00002069421,0.00002512663,0.0001030839,0.000006833179],"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":[0.00009259805,0.00004072689,0.0003169858,0.00005785444,0.00003081568,0.00005274564,0.00002913966,0.9390624,0.01060882,0.009063003,0.0008629532,0.03978199],"study_design_scores_gemma":[0.000001262963,0.000006997475,0.000033082,0.000001439461,0.000002382679,0.000005325171,6.860781e-7,0.9986112,0.0007085053,0.0004222931,0.0002048942,0.000001836024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0188806,0.0002509896,0.9757347,0.0001311859,0.00005523104,0.00002555881,0.00008529179,0.0004220308,0.004414336],"genre_scores_gemma":[0.9045132,0.0004072105,0.07911517,0.0001163917,0.00003756559,0.0001264326,0.000233397,0.00006233719,0.0153882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003628166,"threshold_uncertainty_score":0.007214069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057766491486825,"score_gpt":0.2365166859302959,"score_spread":0.2159390210154277,"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."}}