{"id":"W4409426670","doi":"10.1109/jlt.2025.3560788","title":"Robust Synchronization Schemes for Preamble Detection in Burst-Mode Coherent Optical Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Preamble; Burst mode (computing); Synchronization (alternating current); Electronic engineering; Computer science; Optical communication; Interferometry; Mode (computer interface); Telecommunications; Optics; Physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001923627,0.0001703191,0.0003784098,0.0008509201,0.00004126417,0.00002586399,0.0003058766,0.0006241056,0.000005455765],"category_scores_gemma":[0.0003005504,0.0001570589,0.00008081848,0.0009498253,0.0001126187,0.0001332812,0.00006852925,0.0006476818,0.000001754944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433439,"about_ca_system_score_gemma":0.00003207915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.615722e-7,"about_ca_topic_score_gemma":0.00003603048,"domain_scores_codex":[0.9987919,0.00001030365,0.0005943198,0.0001480498,0.00010107,0.0003543481],"domain_scores_gemma":[0.9993461,0.0001358774,0.0001074575,0.0002152472,0.0001638474,0.00003143283],"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":[0.0001474615,0.0002108677,0.003635891,0.0002123865,0.0002887345,0.00003953494,0.00001599545,0.6055731,0.009177976,0.07978816,0.001385594,0.2995243],"study_design_scores_gemma":[0.0012337,0.0004545835,0.000455468,0.0003790567,0.00008060049,0.00007168595,0.0001006103,0.9059803,0.06884524,0.01689941,0.005247795,0.0002515777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2107991,0.001810119,0.7848499,0.0007869583,0.000629309,0.0002887168,9.323417e-7,0.0004473652,0.0003875328],"genre_scores_gemma":[0.9609196,0.0003653785,0.03852535,0.00001184086,0.00008866166,0.00003596958,0.000001273868,0.00002421866,0.00002776558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7501204,"threshold_uncertainty_score":0.6404676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008533641673900777,"score_gpt":0.2361795150681692,"score_spread":0.2276458733942684,"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."}}