{"id":"W2140859291","doi":"10.1109/icc.2008.990","title":"Meta-Mesh Span Restoration and Increased Lightpath Routing in Sparse Network Topologies","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Network topology; Computer science; Mesh networking; Span (engineering); Routing (electronic design automation); Computer network; Optical mesh network; Distributed computing; Shared mesh; Topology (electrical circuits); Wireless mesh network; Engineering; Telecommunications; Structural engineering; Electrical 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":[0.0001261672,0.0001568162,0.000279669,0.00006377474,0.00006848438,0.00001373713,0.00009572983,0.0001268308,0.00002091443],"category_scores_gemma":[0.0001157379,0.0001305152,0.0000327507,0.0002814226,0.0001065229,0.0001952732,0.0000716365,0.0002046669,0.000007739444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004602982,"about_ca_system_score_gemma":0.000005805153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004191969,"about_ca_topic_score_gemma":0.000191025,"domain_scores_codex":[0.999181,0.00002040749,0.0002271491,0.0001741086,0.00008100029,0.0003163612],"domain_scores_gemma":[0.9995735,0.0001512785,0.0000223669,0.0002021866,0.00001355817,0.00003705143],"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":[0.00004615169,0.00006631733,0.106944,0.00006600669,0.0005396652,0.0002815828,0.0005131168,0.7413489,0.001397805,0.1283673,0.00550646,0.01492281],"study_design_scores_gemma":[0.001823858,0.0003322982,0.149822,0.0001154397,0.0004340119,0.0001527186,0.001089001,0.7800784,0.006204157,0.05244825,0.005369779,0.002130118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646109,0.001917757,0.02496522,0.0001970565,0.0001318261,0.0002261981,0.000001081939,0.002092344,0.00585757],"genre_scores_gemma":[0.9173779,0.0006973254,0.08172658,0.00003786786,0.00005621224,0.00002368939,0.000002723003,0.0000172273,0.00006046124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07591903,"threshold_uncertainty_score":0.5322254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128771021616101,"score_gpt":0.2264287119712591,"score_spread":0.185141001755098,"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."}}