{"id":"W2033811259","doi":"10.1109/leos.2006.278991","title":"All-Optical 3R Regeneration using Higher-Order Four-Wave Mixing in a Highly Nonlinear Fiber with a Clock-Modulated Optical Pump Signal","year":2006,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"SIGNAL (programming language); Dispersion (optics); Four-wave mixing; Signal regeneration; Mixing (physics); Optical fiber; Optics; Sensitivity (control systems); Materials science; Noise (video); Nonlinear optics; Dispersion-shifted fiber; Nonlinear system; Laser; Physics; Fiber optic sensor; Electronic engineering; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001433273,0.0003654114,0.0003754528,0.0002052679,0.0000557612,0.0001149634,0.0001458955,0.0004288351,0.0001704252],"category_scores_gemma":[0.00002533149,0.0003124279,0.00005717177,0.0007211751,0.0001432106,0.0002393689,0.00008223694,0.0005214791,0.00005162798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346093,"about_ca_system_score_gemma":0.00002783126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008932452,"about_ca_topic_score_gemma":0.0001662363,"domain_scores_codex":[0.9979544,0.00002451961,0.0005075593,0.0004258562,0.000348531,0.0007391523],"domain_scores_gemma":[0.999324,0.0001260924,0.0000316906,0.0003266773,0.000095337,0.00009620029],"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":[0.00006120092,0.0001287147,0.0004925548,0.00003780879,0.00007692086,0.0002291957,0.00001368325,0.9413082,0.04188309,0.01359985,0.0002430622,0.001925738],"study_design_scores_gemma":[0.0008066961,0.0001006748,0.001321553,0.00007324186,0.00004587651,0.00005212205,0.00001073137,0.9650735,0.03070075,0.0004995945,0.0008232223,0.0004920143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499092,0.00008599138,0.04238125,0.0006886436,0.0001041438,0.000301084,0.00000249245,0.001262206,0.005265045],"genre_scores_gemma":[0.6626067,0.000004615309,0.3368452,0.00003768839,0.0002106647,0.00001447915,0.00002187102,0.00006551231,0.0001933621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2944639,"threshold_uncertainty_score":0.9999328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029688129585508,"score_gpt":0.2140521251476561,"score_spread":0.1937552438518011,"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."}}