{"id":"W3189640405","doi":"10.1364/ofc.2021.m3c.5","title":"Estimating nonlinear phase shift in a multi-span fiber-optic link using a coherent transceiver","year":2021,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Subcarrier; Transceiver; Span (engineering); Multiplexing; Phase modulation; Fiber-optic communication; Nonlinear system; Optical fiber; Optics; Fiber optic splitter; Modulation (music); Subcarrier multiplexing; Polarization (electrochemistry); Computer science; Electronic engineering; Physics; Telecommunications; Phase noise; Fiber optic sensor; Engineering; Orthogonal frequency-division multiplexing; Acoustics; Structural engineering","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":[0.00007232633,0.0001850009,0.0002475079,0.00008291812,0.00003121206,0.00004721345,0.0001277507,0.0001552772,0.0003075344],"category_scores_gemma":[0.00007572078,0.0001864513,0.00006461419,0.0003829757,0.00004472294,0.0001090244,0.00003925435,0.0003563904,0.00006065675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008949146,"about_ca_system_score_gemma":0.00002300564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001896317,"about_ca_topic_score_gemma":0.0001120112,"domain_scores_codex":[0.9989626,0.00001552754,0.0003029465,0.0002276784,0.0001122719,0.0003789609],"domain_scores_gemma":[0.9995689,0.00008543737,0.00001486937,0.0002461891,0.00002350382,0.00006105901],"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":[0.000008168377,0.0002544275,0.0003138718,0.0001827214,0.00005567182,0.0003718202,0.0003476482,0.9357405,0.006904131,0.0003327054,0.00002293013,0.05546543],"study_design_scores_gemma":[0.00115059,0.00002501524,0.0001645029,0.0001438648,0.00001845769,0.00001264787,0.00006819023,0.9949013,0.003064362,0.00008765471,0.0001379513,0.0002254723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8879715,0.0002839724,0.1097002,0.0001573286,0.0001425031,0.000174544,0.000005811432,0.0009176165,0.000646479],"genre_scores_gemma":[0.4846769,0.000005170065,0.5151978,0.00001263855,0.00003809482,0.000007556346,0.000005114451,0.00002715878,0.0000295974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4054975,"threshold_uncertainty_score":0.7603263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03801366995417002,"score_gpt":0.2954350502975653,"score_spread":0.2574213803433953,"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."}}