{"id":"W7112223910","doi":"","title":"Power Efficient Service Differentiation Based on Traffic-Aware Survivable Elastic Optical Networks","year":2014,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Power (physics); Service (business); Quality of service; Transmission (telecommunications); Telecommunications network","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":[0.0003643151,0.0004201739,0.0004201863,0.00039096,0.0003763445,0.0006802927,0.0007423126,0.0003157649,0.001072074],"category_scores_gemma":[0.001200583,0.0002036905,0.0001843504,0.0004595632,0.0003026818,0.0007237924,0.0005714107,0.0005191562,0.000200981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155877,"about_ca_system_score_gemma":0.0004590575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127244,"about_ca_topic_score_gemma":0.002713256,"domain_scores_codex":[0.9996929,0.0000594485,0.00001380557,0.00005552111,0.0001078136,0.00007049693],"domain_scores_gemma":[0.9994248,0.0002515373,0.00006663339,0.00006608831,0.0001541625,0.00003679463],"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":[0.0008506164,0.0002758355,0.001689404,0.0001180872,0.00005526893,0.0002749609,0.0001631339,0.6575291,0.09999136,0.03225835,0.001967362,0.2048265],"study_design_scores_gemma":[0.0000054661,0.00002843299,0.0001922179,0.000003254853,0.000007769658,0.00005108007,0.00001383681,0.9901612,0.003949624,0.005261028,0.000320426,0.000005585328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3436598,0.0006413001,0.6439008,0.0003986471,0.0001320586,0.000061542,0.0001030196,0.0006583144,0.01044445],"genre_scores_gemma":[0.9765847,0.0000908765,0.02176268,0.00003524617,0.00002220027,0.000009490333,0.0000468515,0.00001680258,0.001431093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00127244,"threshold_uncertainty_score":0.004466355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005720007233873781,"score_gpt":0.1722199308351946,"score_spread":0.1664999236013208,"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."}}