{"id":"W4249440023","doi":"10.1002/dac.886","title":"Analysis of a clock‐recovery technique for circuit emulation services over packet networks","year":2007,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer science; Synchronous optical networking; Clock synchronization; Computer network; End-to-end delay; Network packet; Clock drift; Processing delay; Emulation; Real-time computing; Timing failure; Transmission delay; Clock skew; Network delay; Synchronization (alternating current); Clock signal; Telecommunications; Channel (broadcasting); Jitter","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868225,0.0003734152,0.0002688976,0.0004273725,0.0002449084,0.0004302678,0.0004941595,0.0003862294,0.0009261188],"category_scores_gemma":[0.004018348,0.0001606573,0.0003358833,0.0003938047,0.0004152932,0.0003900729,0.000333687,0.0004532611,0.0001285672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009318375,"about_ca_system_score_gemma":0.0005775771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163007,"about_ca_topic_score_gemma":0.0004290728,"domain_scores_codex":[0.9993618,0.0001567699,0.00001466862,0.00005709786,0.0003482829,0.00006148486],"domain_scores_gemma":[0.9984091,0.0009926083,0.0002327613,0.0001136623,0.0002222969,0.00002949996],"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":[0.0002188955,0.00008361218,0.001641346,0.00009663811,0.00004876846,0.0001669867,0.00006466578,0.8468336,0.06451901,0.02367394,0.0004576851,0.06219493],"study_design_scores_gemma":[0.000002248481,0.00002497286,0.000126813,0.000001658236,0.00000437439,0.00002196795,0.00000267013,0.9949083,0.004407968,0.0003670291,0.0001301475,0.000001916999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283925,0.0002732602,0.8689749,0.0001012143,0.00001609221,0.00005547813,0.00001717004,0.0003094493,0.001859933],"genre_scores_gemma":[0.9658082,0.0001077819,0.03338073,0.00001475357,0.00001021464,0.00001970202,0.00001762423,0.00002838463,0.0006126655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001163007,"threshold_uncertainty_score":0.006761014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417531738784547,"score_gpt":0.2853929809202363,"score_spread":0.2712176635323909,"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."}}