{"id":"W2081964902","doi":"10.1109/mcom.2008.4463776","title":"Ethernet data plane evolution for provider networks [next-generation carrier ethernet transport technologies]","year":2008,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"University of Waterloo","keywords":"Carrier Ethernet; Computer science; Computer network; Ethernet over PDH; Metro Ethernet; Virtual LAN; Ethernet; ATA over Ethernet; Ethernet over SDH; Ethernet flow control","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":[0.001245006,0.0004298261,0.0002168021,0.000793784,0.0007435041,0.001737574,0.0007345683,0.001044719,0.003959307],"category_scores_gemma":[0.001443743,0.0002987569,0.000253203,0.001330131,0.0004958159,0.003079899,0.0008067092,0.001965245,0.001479731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376186,"about_ca_system_score_gemma":0.00184779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613437,"about_ca_topic_score_gemma":0.002354956,"domain_scores_codex":[0.99939,0.00009361853,0.00004685431,0.00006185819,0.000356459,0.00005122285],"domain_scores_gemma":[0.9994608,0.00006560876,0.000041576,0.00007218492,0.0003091786,0.00005065604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006662073,0.00005877034,0.0008547523,0.0003166083,0.00001570411,0.0002892965,0.0001932469,0.00531179,0.01221423,0.4162997,0.07424002,0.4901393],"study_design_scores_gemma":[0.0000117604,0.00007579519,0.0004426294,0.0001259312,0.00001701544,0.000483369,0.00006906287,0.01695548,0.005937013,0.0240682,0.9517862,0.00002761757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01099452,0.03304073,0.8083089,0.0104232,0.004817196,0.0004887625,0.0004177474,0.002254279,0.1292547],"genre_scores_gemma":[0.1323788,0.06903344,0.6777443,0.003513665,0.003112414,0.0005487192,0.002946437,0.0006413568,0.1100809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003959307,"threshold_uncertainty_score":0.01324517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048329968324033,"score_gpt":0.2872887278368466,"score_spread":0.1824557310044433,"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."}}