{"id":"W2036106055","doi":"10.1364/ol.34.000899","title":"Low-timing-jitter all-optical clock recovery for 40 Gbits/s RZ-DPSK and NRZ-DPSK signals using a passively mode-locked quantum-dot Fabry–Perot semiconductor laser","year":2009,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jitter; Optics; Clock recovery; Physics; Laser linewidth; Clock signal; SIGNAL (programming language); Fabry–Pérot interferometer; Semiconductor laser theory; Laser; Computer science; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002073121,0.0006324012,0.0006778471,0.0002368319,0.0001479487,0.0002560056,0.0004125319,0.0004840246,0.00002055756],"category_scores_gemma":[0.0002116488,0.0006413592,0.0002079016,0.0002663532,0.0002307091,0.0004236739,0.0001249626,0.0006668837,0.00002631366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218085,"about_ca_system_score_gemma":0.00002567251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003678929,"about_ca_topic_score_gemma":0.000001512153,"domain_scores_codex":[0.9971014,0.00003360127,0.0006594571,0.0006805102,0.0003467005,0.001178393],"domain_scores_gemma":[0.9985533,0.0004296476,0.0001036938,0.0005764471,0.00009299464,0.0002438858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001740772,0.0001236378,0.00006412806,0.0002178253,0.0003237205,0.0001044642,0.0001806109,0.1449151,0.8299909,0.00215251,0.01099492,0.01075806],"study_design_scores_gemma":[0.001422874,0.0003897437,0.0000970398,0.0003122966,0.0002740156,0.00006317398,0.0001150368,0.9080455,0.08456245,0.002294908,0.0009812948,0.001441697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293242,0.0001246082,0.06444275,0.004078069,0.0004124558,0.0006942849,0.00005139712,0.0007324805,0.0001397951],"genre_scores_gemma":[0.8899895,0.0001028969,0.1055487,0.003732388,0.0003686991,0.00005305624,0.00002919567,0.0001389688,0.00003653804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7631304,"threshold_uncertainty_score":0.9996037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775570439513439,"score_gpt":0.2514034939377835,"score_spread":0.2236477895426491,"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."}}