{"id":"W2579921839","doi":"10.1364/oe.25.001916","title":"Digital signal processing for fiber nonlinearities [Invited]","year":2017,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Danmarks Grundforskningsfond; European Commission","keywords":"Optics; Signal processing; Optical fiber; Computer science; Physics; Digital signal processing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003868588,0.0001449532,0.0001521358,0.0000329586,0.0002188031,0.0007147342,0.0004239818,0.0001342752,0.00001068211],"category_scores_gemma":[0.00007502704,0.0001427378,0.00005057417,0.00002335748,0.0001630368,0.0004714847,0.0001264133,0.0001425417,0.0000185876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001862007,"about_ca_system_score_gemma":0.000005607588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.516137e-7,"about_ca_topic_score_gemma":4.629887e-7,"domain_scores_codex":[0.9992935,0.000001222158,0.0001430962,0.0001463795,0.0001060386,0.0003097642],"domain_scores_gemma":[0.9994265,0.00006717568,0.00003436598,0.000366023,0.00005876696,0.00004713955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003894645,0.0001009707,0.0004482392,0.000769654,0.0001048811,0.00002603713,0.0001785234,0.05146526,0.002577519,0.004692826,0.0134631,0.926134],"study_design_scores_gemma":[0.0003655919,0.00004979526,0.00007586104,0.0001385895,0.00001991426,0.000004373326,0.00008387675,0.9219649,0.005106132,0.001789812,0.07000981,0.0003913232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4712171,0.002280224,0.2648992,0.002221422,0.001322692,0.002017521,0.0007523521,0.007351563,0.2479379],"genre_scores_gemma":[0.8366487,0.00002858963,0.1610052,0.00002246358,0.0004264748,0.0000777337,0.00002213447,0.00007853113,0.001690205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9257427,"threshold_uncertainty_score":0.6892198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856794762722151,"score_gpt":0.2431368327796773,"score_spread":0.2245688851524558,"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."}}