{"id":"W2916163885","doi":"10.1364/ofc.2019.m3j.1","title":"Nonlinear Mitigation Enabling Next Generation High Speed Optical Transport Beyond 100G","year":2019,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Transmission (telecommunications); Computer science; Nonlinear system; Nonlinear optical; Optical performance monitoring; Electronic engineering; Nonlinear optics; Optical switch; Telecommunications; Wavelength-division multiplexing; Optoelectronics; Physics; 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":[0.00008197966,0.0001416153,0.000161161,0.0000732358,0.00002598968,0.00004123366,0.0001175122,0.000194167,0.0003698338],"category_scores_gemma":[0.0000188268,0.0001336766,0.0000458707,0.0001956488,0.00003137483,0.0002801445,0.00001399791,0.0001961783,0.0004470713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004788701,"about_ca_system_score_gemma":0.000008494887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000542402,"about_ca_topic_score_gemma":0.00001127904,"domain_scores_codex":[0.9991477,0.000004373052,0.0002327519,0.0001914983,0.000164322,0.0002593741],"domain_scores_gemma":[0.9996168,0.00004782501,0.00001186402,0.0002359569,0.00003545482,0.00005211942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000129704,0.00007119805,0.002513264,0.0001102839,0.00008359736,0.00001681385,0.00007712557,0.2833156,0.5949251,0.09382589,0.001272164,0.02377597],"study_design_scores_gemma":[0.0003099549,0.00005917223,0.0007097833,0.00001316613,0.00001781197,0.000003351109,0.0000563506,0.8523779,0.1441599,0.0004711967,0.001563735,0.0002576936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980594,0.0000689552,0.006972725,0.0003300194,0.0004343729,0.0002092671,0.000002451787,0.001208648,0.01017952],"genre_scores_gemma":[0.9110326,0.00005164471,0.08814584,0.00007311908,0.0002539051,0.000003801611,0.00007627536,0.0000317892,0.0003309828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5690623,"threshold_uncertainty_score":0.5746346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456887515590613,"score_gpt":0.2042564361510958,"score_spread":0.1896875609951897,"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."}}