{"id":"W2146049426","doi":"10.1109/icc.1998.682929","title":"Cycle-oriented distributed preconfiguration: ring-like speed with mesh-like capacity for self-planning network restoration","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":535,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Spare part; Computer science; Path (computing); Distributed computing; Mesh networking; Ring (chemistry); Connection (principal bundle); Optical mesh network; Computer network; Engineering; Wireless mesh network; Telecommunications; Operations management; Structural 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":[0.00008775402,0.0002592041,0.0002467812,0.00005078977,0.0001751425,0.00005411359,0.0001473658,0.0001832593,0.00005930504],"category_scores_gemma":[0.00004310989,0.0002320808,0.00004414191,0.0004549419,0.00006054668,0.0003719403,0.0000220344,0.000245563,0.00002029647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523235,"about_ca_system_score_gemma":0.000004501261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000208346,"about_ca_topic_score_gemma":0.00002662365,"domain_scores_codex":[0.9987219,0.00001367538,0.0003056691,0.0002930332,0.0001653402,0.000500393],"domain_scores_gemma":[0.9992787,0.0001379961,0.00005777088,0.0003359292,0.0001054467,0.00008421783],"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":[0.00003171369,0.00003009385,0.0005557727,0.0000447987,0.00008518668,0.00000469918,0.00009608019,0.9766619,0.0001438824,0.006781838,0.01408574,0.001478271],"study_design_scores_gemma":[0.0007223755,0.0001701385,0.0004580108,0.00005351568,0.00004057251,0.00001248791,0.00006435164,0.9495238,0.0005437065,0.0007775226,0.04720761,0.00042593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06183823,0.0001840939,0.9267113,0.0001511631,0.0004822283,0.000732518,0.00002433989,0.004775514,0.005100649],"genre_scores_gemma":[0.6598658,0.00003561154,0.3392015,0.00006833491,0.0002882911,0.0001058141,0.0001328751,0.00006805472,0.0002337101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5980275,"threshold_uncertainty_score":0.9463979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748457709103126,"score_gpt":0.2149427437427756,"score_spread":0.1974581666517443,"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."}}