{"id":"W2377322309","doi":"","title":"A Study of Clock Synchronization Algorithms Based on Postponed Compensation","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Self-clocking signal; Clock synchronization; Computer science; Synchronization (alternating current); Digital clock manager; Clock drift; Transmission (telecommunications); Data synchronization; Real-time computing; Compensation (psychology); Algorithm; SIGNAL (programming language); Time synchronization; Clock domain crossing; Clock signal; Clock skew; Jitter; Synchronous circuit; Wireless sensor network; Telecommunications; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603527,0.0001969244,0.0002141223,0.0003570874,0.0001773157,0.00005515603,0.00121274,0.00008991006,0.00002326772],"category_scores_gemma":[0.000001807234,0.0002022129,0.00005000271,0.001312015,0.0000611498,0.0002142792,0.0002504201,0.0001247401,0.00009547587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008189618,"about_ca_system_score_gemma":0.00006583612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002661827,"about_ca_topic_score_gemma":0.000006491859,"domain_scores_codex":[0.9984405,0.00008292062,0.0004477825,0.0005495797,0.0002600115,0.0002192119],"domain_scores_gemma":[0.9983006,0.00007592964,0.0002761596,0.001022001,0.0002741578,0.00005112337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002579504,0.006917426,0.005100006,0.00006024505,0.0001118317,0.000008769981,0.0059643,0.02581007,0.001226882,0.08385696,0.001450603,0.8694671],"study_design_scores_gemma":[0.002197466,0.001413902,0.01376027,0.00005044718,0.00003985633,0.00001068898,0.0002619613,0.9581057,0.01481762,0.003464264,0.005222086,0.0006557495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006344222,0.000023673,0.9905767,0.0001241638,0.00003087696,0.001534394,0.000003804425,0.0006611273,0.0007010357],"genre_scores_gemma":[0.6141267,0.000001595824,0.3854292,0.0001085163,0.00002824865,0.0002595655,0.00001611284,0.00001381081,0.00001615029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9322956,"threshold_uncertainty_score":0.8246002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224128884772033,"score_gpt":0.2357662075493663,"score_spread":0.213524918701646,"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."}}