{"id":"W2784528297","doi":"10.1364/jocn.10.000065","title":"Burst Mode Optical Receiver With 10  ns Lock Time Based on Concurrent DC Offset and Timing Recovery Technique","year":2018,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Burst mode (computing); Jitter; DC bias; Clock recovery; Duty cycle; Offset (computer science); Amplifier; Transimpedance amplifier; Direct-conversion receiver; Computer science; Electronic engineering; Electrical engineering; Physics; Clock signal; Bandwidth (computing); Voltage; Detector; Engineering; Telecommunications; Operational amplifier","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":[0.0003167886,0.0003978608,0.0003019014,0.0004296289,0.0003397038,0.0005833202,0.001263328,0.0004354438,0.001909828],"category_scores_gemma":[0.0003946869,0.0002596643,0.0002372251,0.0002640517,0.0002904875,0.0009807363,0.0005736719,0.0007571208,0.0007707014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000550809,"about_ca_system_score_gemma":0.0007549641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007421523,"about_ca_topic_score_gemma":0.001436663,"domain_scores_codex":[0.9996512,0.00002212945,0.00001693656,0.00008618146,0.0001778468,0.0000458299],"domain_scores_gemma":[0.9997019,0.00005121768,0.00005342757,0.00004997033,0.0001157926,0.00002763387],"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":[0.0002474884,0.0001025689,0.0009980622,0.00009271392,0.00002100586,0.00009480355,0.0001436137,0.00140116,0.9145473,0.003959609,0.0005244027,0.07786725],"study_design_scores_gemma":[0.0001112648,0.0008293599,0.001329017,0.00002162278,0.00007914475,0.0007509959,0.00005166261,0.08280852,0.8947024,0.0006249129,0.01863417,0.00005691272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3149849,0.001343935,0.6674595,0.0002895302,0.0001521033,0.000208279,0.00009940251,0.004347385,0.01111503],"genre_scores_gemma":[0.7349988,0.000429508,0.2495302,0.0002163202,0.0001241505,0.00008655991,0.0002011434,0.0002019376,0.01421144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001909828,"threshold_uncertainty_score":0.006388962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305548177642952,"score_gpt":0.2639977992692937,"score_spread":0.2409423174928642,"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."}}