{"id":"W2079836094","doi":"10.1016/j.comcom.2006.07.005","title":"Multiple link failures survivability of optical networks with traffic grooming capability","year":2006,"lang":"en","type":"article","venue":"Computer Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Concordia University","funders":"","keywords":"Traffic grooming; Computer science; Survivability; Spare part; Computer network; Provisioning; Distributed computing; Robustness (evolution); Overhead (engineering); Bandwidth (computing); Wavelength-division multiplexing","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":[0.0006126194,0.0005489049,0.00041218,0.0007127886,0.0004951934,0.0007812239,0.0006086184,0.0005036765,0.001295024],"category_scores_gemma":[0.002742345,0.0002517161,0.0002563462,0.0005714752,0.0005385528,0.001581539,0.000731761,0.000606228,0.0001065561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541328,"about_ca_system_score_gemma":0.0004187344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355395,"about_ca_topic_score_gemma":0.001425005,"domain_scores_codex":[0.9996295,0.0001108076,0.0000164983,0.00006254262,0.00009504731,0.00008556963],"domain_scores_gemma":[0.9981787,0.00104802,0.0003347654,0.0001703639,0.0001666976,0.0001015047],"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":[0.001547251,0.0002061158,0.004532086,0.0002133253,0.0001182481,0.0007227229,0.0003011646,0.748751,0.05090872,0.07049042,0.001781321,0.1204276],"study_design_scores_gemma":[0.00003629592,0.0001382913,0.001118983,0.0000105544,0.00003241931,0.0001518151,0.00005548155,0.9594731,0.004690325,0.03382922,0.0004516823,0.00001186844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8140876,0.000777209,0.1767884,0.0005017677,0.00006145699,0.00003227823,0.0001316916,0.0002014778,0.007418132],"genre_scores_gemma":[0.9943274,0.000164791,0.00453526,0.00002041392,0.00004302073,0.00001282201,0.00004604701,0.00001015587,0.0008402027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001355395,"threshold_uncertainty_score":0.004332304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267048672560023,"score_gpt":0.2150669813848327,"score_spread":0.2023964946592325,"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."}}