{"id":"W2099972742","doi":"10.1364/jocn.5.000023","title":"Design and Dimensioning of Logical Survivable Topologies Against Multiple Failures","year":2012,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Dimensioning; Network topology; Computer science; Computer network; Distributed computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009488291,0.0005378218,0.0003989287,0.0006803403,0.0002566389,0.0008247784,0.0007529383,0.0005634347,0.001910683],"category_scores_gemma":[0.002617247,0.0003733985,0.0003303788,0.0004407228,0.0005971694,0.0009775669,0.0006411695,0.0004785533,0.0001657708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008554775,"about_ca_system_score_gemma":0.0006206831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007349454,"about_ca_topic_score_gemma":0.0008693761,"domain_scores_codex":[0.9996277,0.0001843941,0.00001718181,0.00004738891,0.00006719072,0.00005613031],"domain_scores_gemma":[0.9987442,0.0007120015,0.0002392825,0.00007040377,0.0001344858,0.00009944737],"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":[0.00003153603,0.0000204694,0.0002010852,0.00005382714,0.000007515623,0.00004189488,0.00001855107,0.9795424,0.001720093,0.005987005,0.0003953308,0.01198033],"study_design_scores_gemma":[0.000009192284,0.00005945582,0.00007240821,0.000006353921,0.000004072805,0.00001802538,0.00002434019,0.9944394,0.000710064,0.004081246,0.0005725132,0.000002962096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2006625,0.0005486466,0.7900422,0.0006703699,0.0000619351,0.0002237071,0.0003303273,0.0003743006,0.007085989],"genre_scores_gemma":[0.8591779,0.0003681912,0.1386389,0.00008400549,0.00001941965,0.0001849338,0.0002292876,0.00005339662,0.00124396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001910683,"threshold_uncertainty_score":0.006391883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007935999299015,"score_gpt":0.2666789977603088,"score_spread":0.2165996377673187,"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."}}