{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005568619,0.001292422,0.0008212274,0.00164041,0.0005921185,0.001745916,0.0007772009,0.002076215,0.01589839],"category_scores_gemma":[0.001345809,0.0004083447,0.0004795742,0.001472194,0.000872841,0.001928559,0.0006089575,0.003067831,0.01129595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007712502,"about_ca_system_score_gemma":0.0004973708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029208,"about_ca_topic_score_gemma":0.0022522,"domain_scores_codex":[0.9995236,0.00006028573,0.00002328086,0.00008132968,0.0002570498,0.00005451829],"domain_scores_gemma":[0.9991118,0.000234096,0.00002769362,0.00003508998,0.0005222016,0.00006906343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001540832,0.00009707366,0.0002540328,0.001853954,0.0001172309,0.0004608513,0.0001271275,0.002139812,0.01412178,0.02607323,0.5429607,0.4116401],"study_design_scores_gemma":[0.000009057038,0.0001010099,0.0002766066,0.0001760601,0.00002406017,0.0004886349,0.00002601497,0.001419328,0.003000239,0.00800973,0.9864388,0.00003061275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003062334,0.7371317,0.0731933,0.01358116,0.09656098,0.0001997614,0.0003438787,0.0007513839,0.07517559],"genre_scores_gemma":[0.02914648,0.543515,0.03598952,0.011254,0.109844,0.0001754961,0.000725953,0.000456261,0.2688932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01589839,"threshold_uncertainty_score":0.05318546,"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."}}