{"id":"W2123264088","doi":"10.1109/aiccsa.2006.205094","title":"A New MPLS-based Local Failure Recovery for Multicast Communication","year":2006,"lang":"en","type":"article","venue":"IEEE International Conference on Computer Systems and Applications, 2006.","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multicast; Computer science; Computer network; Backup; Distributed computing; Multiprotocol Label Switching; Tree (set theory); Xcast; Inter-domain; Node (physics); Source-specific multicast; Protocol Independent Multicast; Path (computing); Quality of service; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003363728,0.0003557875,0.0005408559,0.0006050893,0.0005371801,0.0007275087,0.001685495,0.0007513393,0.001390896],"category_scores_gemma":[0.0004877055,0.0001735946,0.0003975357,0.0004014156,0.0003343111,0.0009615665,0.0007234677,0.0009435262,0.0006068751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004949798,"about_ca_system_score_gemma":0.0004724514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006606637,"about_ca_topic_score_gemma":0.0009648615,"domain_scores_codex":[0.9995976,0.00005957188,0.00001917889,0.00006719042,0.000206615,0.00004985422],"domain_scores_gemma":[0.9997287,0.00003913246,0.00003148871,0.0000548118,0.0001182563,0.00002762033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002748194,0.0002661848,0.0007309293,0.0005532912,0.0001514857,0.0006856474,0.0002434156,0.09602931,0.2194515,0.04872133,0.01160142,0.6212906],"study_design_scores_gemma":[0.00006082083,0.0003484331,0.0004450679,0.00003462883,0.00007191765,0.0008963686,0.00005516579,0.9114579,0.0516621,0.009096303,0.02579955,0.0000718521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01208207,0.0006800165,0.9829238,0.0002469988,0.0001309635,0.00009814034,0.00005133398,0.001078329,0.00270833],"genre_scores_gemma":[0.4181397,0.001024447,0.5697072,0.0004105372,0.0002543851,0.0002616729,0.0002759616,0.0001293064,0.00979684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001685495,"threshold_uncertainty_score":0.004653037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164174463374781,"score_gpt":0.2593350406942361,"score_spread":0.2376932960604883,"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."}}