{"id":"W2315584885","doi":"10.1364/acpc.2013.aw4h.7","title":"On Achieving All-Optical and Signaling-Free Failure Restoration under Dynamic Traffics","year":2013,"lang":"en","type":"article","venue":"Asia Communications and Photonics Conference 2013","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spare part; Routing (electronic design automation); Scheme (mathematics); Computer network; Blocking (statistics); Computer science; Node (physics); Survivability; Reuse; Block (permutation group theory); Adaptive routing; Distributed computing; Dynamic Source Routing; Routing protocol; Engineering","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":[0.00008327566,0.0001724632,0.0001650847,0.00006560323,0.0001606334,0.000145066,0.0005176769,0.0001757354,0.00003125585],"category_scores_gemma":[0.00005451867,0.0001659967,0.00002064462,0.0001108134,0.0002714008,0.0002361417,0.0002524617,0.0004919198,0.00002527617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004138326,"about_ca_system_score_gemma":0.00001532468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001278291,"about_ca_topic_score_gemma":0.0002497967,"domain_scores_codex":[0.9992734,0.00002957541,0.000211254,0.0001728125,0.00009306292,0.0002199383],"domain_scores_gemma":[0.9983152,0.000342517,0.00003586482,0.001147479,0.00007582143,0.00008311211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007711228,0.00009910459,0.00005956518,0.00005725973,0.0001043999,9.234977e-7,0.000504334,0.01843883,0.02192391,0.8837183,0.001609694,0.07347601],"study_design_scores_gemma":[0.0002699145,0.0001247936,0.0006565931,0.00007743767,0.00002621417,0.000007477599,0.0006301913,0.9308076,0.0001541046,0.06347824,0.003450632,0.0003167925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353424,0.002661594,0.04331015,0.01308331,0.00006459308,0.0007095949,0.00001421183,0.0008237477,0.003990412],"genre_scores_gemma":[0.8968403,0.004701754,0.09823176,0.00006799449,0.000003013831,0.00008516218,0.00002571471,0.00002206242,0.00002224794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9123688,"threshold_uncertainty_score":0.6769149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793328966902469,"score_gpt":0.2407617480719465,"score_spread":0.2228284584029218,"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."}}