{"id":"W2128188853","doi":"10.1049/ip-com:20020306","title":"Destination-initiating path restoration protocol for wavelength-routed WDM networks","year":2002,"lang":"en","type":"article","venue":"IEE Proceedings - Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer network; Survivability; Computer science; Backup; Provisioning; Node (physics); Protocol (science); Path (computing); Wavelength-division multiplexing; Connection (principal bundle); Transmission (telecommunications); Distributed computing; Telecommunications; Engineering; Wavelength; Medicine","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":[0.0001860535,0.0002095713,0.0001802428,0.0001116126,0.0004668194,0.000113417,0.0007773655,0.0001859231,0.00001214986],"category_scores_gemma":[0.0006180957,0.000228188,0.00005421322,0.0005608239,0.0001102332,0.0005435315,0.0001556332,0.0004402436,0.00001600046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156091,"about_ca_system_score_gemma":0.000006519638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001168921,"about_ca_topic_score_gemma":0.00000552226,"domain_scores_codex":[0.9988523,0.000009262539,0.000440498,0.0002018821,0.0001335098,0.0003625916],"domain_scores_gemma":[0.9985613,0.0003342672,0.0001321444,0.0005442862,0.0003654329,0.00006259039],"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":[0.00005026333,0.0006578862,0.002402897,0.0008411196,0.000188163,0.000001409262,0.002470942,0.06542382,0.003763546,0.4898727,0.04545588,0.3888713],"study_design_scores_gemma":[0.0004414628,0.00005867674,0.0001964585,0.0001283644,0.00001432785,0.000004087607,0.0001532375,0.9671525,0.0001600719,0.006472359,0.02495161,0.0002667772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002720937,0.0004855076,0.724785,0.003973199,0.0002876755,0.1971488,0.00003640781,0.01330734,0.05725506],"genre_scores_gemma":[0.4241093,0.0000831763,0.3442883,0.00004648115,0.0001043451,0.2312243,0.00002251256,0.00006699834,0.00005447902],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9017287,"threshold_uncertainty_score":0.9305235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06512542462493823,"score_gpt":0.297122561553768,"score_spread":0.2319971369288298,"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."}}