{"id":"W1973276154","doi":"10.1155/2008/583162","title":"Internal Clock Drift Estimation in Computer Clusters","year":2008,"lang":"en","type":"article","venue":"Journal of Computer Networks and Communications","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clock drift; Computer science; Clock synchronization; Timer; Network packet; Digital clock manager; Timing failure; Synchronization (alternating current); Clock domain crossing; Real-time computing; Clock skew; Vector clock; Tracing; Global Positioning System; Interrupt; CPU multiplier; Master clock; Clock signal; Synchronous circuit; Computer hardware; Computer network; Channel (broadcasting); Jitter; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029616,0.0003629875,0.0004522507,0.001587045,0.0004985159,0.0006251012,0.0006085273,0.0003128093,0.0003529117],"category_scores_gemma":[0.007518198,0.0002093493,0.00016409,0.002367809,0.0003394841,0.0006365114,0.0007003039,0.0004139789,0.0001351365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145153,"about_ca_system_score_gemma":0.0007795792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006330145,"about_ca_topic_score_gemma":0.002050194,"domain_scores_codex":[0.9992819,0.0001443007,0.00002877649,0.0001782728,0.0002795103,0.00008725055],"domain_scores_gemma":[0.9976557,0.000899196,0.0004526774,0.0003286574,0.0005771397,0.00008661138],"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":[0.0006022776,0.00004868568,0.03632251,0.0001114286,0.00005677549,0.0001307325,0.0004189158,0.7757339,0.0227074,0.008867762,0.001278411,0.1537212],"study_design_scores_gemma":[0.00002229864,0.0001009771,0.008715415,0.00001018402,0.00002224796,0.00008848484,0.00009055297,0.970712,0.01554931,0.003183898,0.001479316,0.0000252087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6284469,0.0004085551,0.3674543,0.00006564889,0.00004215299,0.0000479606,0.0001840486,0.000977586,0.002372851],"genre_scores_gemma":[0.9607791,0.0001495771,0.03832548,0.000005668133,0.00001145163,0.00002365541,0.0001694111,0.00005510206,0.000480578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006330145,"threshold_uncertainty_score":0.01258659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399859707692555,"score_gpt":0.2393757361733685,"score_spread":0.225377139096443,"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."}}