{"id":"W2149812531","doi":"10.4304/jnw.1.3.1-8","title":"Efficient Distributed Algorithm for RWA Using Path Protection","year":2006,"lang":"en","type":"article","venue":"Journal of Networks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Path (computing); Distributed computing; Algorithm; Computer network","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":[0.000146157,0.0001161188,0.0001964303,0.00006295766,0.00005962804,0.00002355939,0.0001031659,0.0001344423,0.000001971339],"category_scores_gemma":[0.00002414994,0.0001004332,0.00009985013,0.0002357333,0.00003170027,0.00005105724,0.00001644237,0.0003149661,3.981137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627809,"about_ca_system_score_gemma":0.000007238918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001031851,"about_ca_topic_score_gemma":5.447789e-7,"domain_scores_codex":[0.999175,0.000008247458,0.0003604163,0.00007068985,0.0001198647,0.0002658418],"domain_scores_gemma":[0.9995828,0.00005399109,0.0001283807,0.000088794,0.000110116,0.00003596608],"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":[0.000008427227,0.00001859244,0.000008711673,0.000006937775,0.00001564907,0.000008193646,0.000001436452,0.9315474,0.0003254783,0.00006460558,0.000416579,0.06757797],"study_design_scores_gemma":[0.0003266381,0.0000810827,0.0001231123,0.00006965676,0.00002382576,0.00006452272,0.00001259759,0.9964191,0.0001609524,0.001113407,0.001496051,0.0001090911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03223537,0.0009415956,0.9658768,0.00002468501,0.0005613919,0.0001867287,0.000006057616,0.0001463601,0.00002099671],"genre_scores_gemma":[0.6552504,0.00003059566,0.3436856,0.000004844227,0.0009818963,0.000007661283,0.000003726882,0.0000307252,0.000004608999],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.623015,"threshold_uncertainty_score":0.4095547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062148041519473,"score_gpt":0.2204993149802355,"score_spread":0.2098778345650408,"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."}}