{"id":"W2915687986","doi":"10.1364/ofc.2019.th2a.34","title":"Nonlinear Noise Monitoring in Coherent Systems Using Amplitude Modulation Pilot Tone and Zero-Power Gap","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Amplitude modulation; Amplitude; Noise (video); Zero (linguistics); Nonlinear system; Modulation (music); Tone (literature); Acoustics; Frequency modulation; Electronic engineering; Physics; Computer science; Telecommunications; Engineering; Radio frequency; Optics; Artificial intelligence","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":[0.0000499375,0.0001201546,0.0001663033,0.00006386109,0.00002948943,0.00004456647,0.00006977053,0.00003222834,0.00002430465],"category_scores_gemma":[0.000001936965,0.000110734,0.00001635234,0.00009791531,0.00001933947,0.0002042141,0.00008061979,0.0001166432,0.00001732926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004659497,"about_ca_system_score_gemma":0.000008971742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004237506,"about_ca_topic_score_gemma":0.000001566394,"domain_scores_codex":[0.9993123,0.00001075858,0.0001828467,0.0002192402,0.00009102462,0.0001837837],"domain_scores_gemma":[0.9996416,0.0000259319,0.00006376488,0.0002142934,0.00002812364,0.00002628423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001928789,0.0001169201,0.869312,0.000027215,0.00002272719,7.757641e-7,0.00008458709,0.02917526,0.09229981,0.007106017,0.000003693591,0.001831739],"study_design_scores_gemma":[0.008232791,0.0008927298,0.2892393,0.001242294,0.00007015873,0.00000636389,0.008734378,0.5061219,0.1610093,0.02045607,0.001294333,0.002700412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638617,0.00005643592,0.03453425,0.00001123019,0.000185584,0.0003245467,0.000005128889,0.00007400681,0.0009471293],"genre_scores_gemma":[0.9920134,0.000001345185,0.007697853,0.000001766601,0.00004992453,0.00001426895,0.000004560046,0.0000157609,0.0002011155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5800726,"threshold_uncertainty_score":0.4515603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153730885688961,"score_gpt":0.297965354575852,"score_spread":0.2664280457189624,"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."}}