{"id":"W2299751078","doi":"","title":"Impact of RPR and Next Generation SONET Features on Metro Ethernet Service Delivery Costs","year":2005,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Ethernet over PDH; Connection-oriented Ethernet; Metro Ethernet; Carrier Ethernet; Ethernet over SDH; Synchronous optical networking; Computer network; Ethernet; ATA over Ethernet; Telecommunications; Computer science; Service provider; Service (business); Business; Ethernet flow control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023245,0.0001584792,0.0001960135,0.00006459391,0.0001137341,0.0002272508,0.0008358216,0.0001189201,0.00009476138],"category_scores_gemma":[0.00006461854,0.0001342836,0.00005362938,0.0002620682,0.0000728129,0.000445252,0.0003404338,0.0002559832,0.00005886765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007143603,"about_ca_system_score_gemma":0.00008245444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002483031,"about_ca_topic_score_gemma":0.000214971,"domain_scores_codex":[0.9989201,0.000149103,0.0002466161,0.0002670083,0.0002226981,0.0001944529],"domain_scores_gemma":[0.9979078,0.0005162013,0.0001122861,0.001053061,0.0002947742,0.0001158883],"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":[0.00008423941,0.0003675534,0.001769909,0.00001812193,0.0001079917,0.00000121429,0.001453791,0.003940915,0.006867785,0.162368,0.004134517,0.818886],"study_design_scores_gemma":[0.001495154,0.000776262,0.1236588,0.0002369196,0.00005447608,0.00002582248,0.00006016419,0.8607641,0.004273759,0.001718598,0.006124896,0.0008110069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952448,0.001800845,0.03040184,0.008327949,0.00005520895,0.0003001077,0.00001291624,0.0001546451,0.006498457],"genre_scores_gemma":[0.9328845,0.0003559449,0.06593461,0.0006392375,0.00004559181,0.00001195355,0.00003133641,0.000008533213,0.00008835251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8568232,"threshold_uncertainty_score":0.5475928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06301852422407633,"score_gpt":0.2954816402553063,"score_spread":0.23246311603123,"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."}}