{"id":"W4226434157","doi":"10.1109/jlt.2022.3169704","title":"Outage Probability Due to PDL Using Threshold Exceedances: Implications of DD-LMS Equalization and Inter-Channel Fiber Nonlinearities","year":2022,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Bit error rate; Quadrature amplitude modulation; Root mean square; Phase-shift keying; Optics; Physics; Electronic engineering; Statistics; Engineering; Decoding methods","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":[0.003429097,0.0004821913,0.0005776208,0.0006633596,0.0003610158,0.0008013746,0.0005131591,0.0005681382,0.0005471488],"category_scores_gemma":[0.01659038,0.0002847834,0.0004034027,0.0006869062,0.001153248,0.001424288,0.00121631,0.0008914099,0.00009170521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291506,"about_ca_system_score_gemma":0.0006977724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240075,"about_ca_topic_score_gemma":0.001800431,"domain_scores_codex":[0.9984283,0.0005652231,0.00008217805,0.0001919114,0.0004995898,0.0002328841],"domain_scores_gemma":[0.979031,0.01677331,0.001767173,0.001443925,0.0007662774,0.0002182015],"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":[0.0001815541,0.0000375833,0.01163486,0.00006849277,0.00004091871,0.0004101811,0.000138643,0.9538326,0.005321603,0.01147675,0.0002368866,0.01661981],"study_design_scores_gemma":[0.000003641424,0.00004354054,0.003108444,0.00001528249,0.00001428262,0.0002254142,0.00004279639,0.9882711,0.003367854,0.004769827,0.0001161167,0.00002168063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3935893,0.0005881458,0.6009825,0.0003375077,0.0000324671,0.00003797737,0.0001755686,0.0006071386,0.003649419],"genre_scores_gemma":[0.9925231,0.00009748697,0.007055171,0.00001533478,0.00001009975,0.00001083214,0.00003566407,0.00002005375,0.0002322187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003429097,"threshold_uncertainty_score":0.01813501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976780934222506,"score_gpt":0.2611728876188064,"score_spread":0.2314050782765813,"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."}}