{"id":"W2522248426","doi":"10.1364/oe.24.022682","title":"Optical back propagation for compensating nonlinear impairments in fiber optic links with ROADMs","year":2016,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Wavelength-division multiplexing; Optics; Multiplexer; Quadrature amplitude modulation; Optical fiber; Optical add-drop multiplexer; Transmission (telecommunications); Fiber-optic communication; Node (physics); Physics; Optical communication; Multiplexing; Fiber optic splitter; Optical performance monitoring; Telecommunications; Computer science; Wavelength; Fiber optic sensor; Channel (broadcasting); Bit error rate; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001870362,0.0005271296,0.0001970341,0.0002731424,0.0003129304,0.0003416892,0.0004461624,0.0002779684,0.0007229208],"category_scores_gemma":[0.0003356514,0.0001656652,0.0001546165,0.000195006,0.0003249128,0.000602097,0.0003140159,0.000324907,0.0002776011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125425,"about_ca_system_score_gemma":0.0002828478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000598017,"about_ca_topic_score_gemma":0.001479278,"domain_scores_codex":[0.9998666,0.00002655792,0.00000384012,0.00002209853,0.00005478623,0.00002604378],"domain_scores_gemma":[0.99972,0.00007001809,0.00009790782,0.00003109999,0.00006818518,0.00001272853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000251214,0.0000576175,0.001741965,0.000144428,0.0000209059,0.0002071643,0.0001148007,0.008956381,0.9447771,0.001630069,0.0001675517,0.04193065],"study_design_scores_gemma":[0.00002297601,0.0005304699,0.001584138,0.00001864113,0.00003933703,0.0002835891,0.0000483971,0.08754016,0.906337,0.0004163293,0.003160587,0.00001827129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8147848,0.001030182,0.1791791,0.000144877,0.00005311358,0.00004263354,0.00005152769,0.0007672153,0.003946525],"genre_scores_gemma":[0.95211,0.0004809271,0.04524958,0.00004075396,0.00002046644,0.00001784395,0.00004774104,0.00003973203,0.001992934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007229208,"threshold_uncertainty_score":0.002418399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231025225659759,"score_gpt":0.2263621218768603,"score_spread":0.2140518696202627,"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."}}