{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163049,0.0001837717,0.000189553,0.00007536369,0.00009563301,0.00002299069,0.0002020275,0.0001335879,0.00004222528],"category_scores_gemma":[0.00008214641,0.0001699185,0.00005855008,0.0007263589,0.00004633342,0.0001152543,0.0001551846,0.0005199189,0.0001900131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004084185,"about_ca_system_score_gemma":0.00000399747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002160597,"about_ca_topic_score_gemma":0.00001348104,"domain_scores_codex":[0.9988968,0.00001426484,0.0001964139,0.00019614,0.0001299827,0.0005663643],"domain_scores_gemma":[0.9995319,0.0001375669,0.00001473479,0.0002372119,0.00001459249,0.0000639479],"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":[0.000003287395,0.000002900101,0.0004030272,0.00001128427,0.00001386399,0.00001729925,0.000007114802,0.9676934,0.0003076534,0.002113352,0.00571076,0.02371602],"study_design_scores_gemma":[0.0001163046,0.00001579834,0.0003933506,0.00001086717,0.000005916474,0.000003605776,0.00002084747,0.9932079,0.00005509872,0.004586135,0.001379975,0.0002042431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1500958,0.001551202,0.7370687,0.001144834,0.0009467236,0.0004530729,0.000009054253,0.05725281,0.05147777],"genre_scores_gemma":[0.9194154,0.0002592774,0.07648093,0.00008812745,0.0001297137,0.00003072348,0.00003908707,0.00008628115,0.003470456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7693196,"threshold_uncertainty_score":0.6929075,"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."}}