{"id":"W2023646209","doi":"10.1007/s12243-009-0089-y","title":"MPLS security: an approach for unicast and multicast environments","year":2009,"lang":"fr","type":"article","venue":"Annals of Telecommunications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multicast; Unicast; Computer network; Computer science; Xcast; Multiprotocol Label Switching; IP multicast; Source-specific multicast; Quality of service","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":[0.002318722,0.001112933,0.0008545198,0.00223454,0.002520211,0.006017236,0.003559247,0.003015812,0.004204968],"category_scores_gemma":[0.003137011,0.0009623101,0.001080756,0.001948895,0.003388237,0.008399269,0.003818368,0.005181295,0.001984148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091196,"about_ca_system_score_gemma":0.001921673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553751,"about_ca_topic_score_gemma":0.002131906,"domain_scores_codex":[0.9975455,0.000486615,0.0001693319,0.0002245509,0.001384492,0.0001894359],"domain_scores_gemma":[0.9984627,0.0003616402,0.00008971747,0.0005504096,0.0004212995,0.0001141374],"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":[0.0000524001,0.00005374463,0.000134435,0.0001572405,0.0000351136,0.0002137607,0.000494997,0.004452331,0.00434392,0.8950955,0.008978094,0.08598833],"study_design_scores_gemma":[0.00003389247,0.00007725666,0.0001703207,0.0002038422,0.0001235941,0.0009998522,0.0004379,0.0945559,0.0107204,0.6586407,0.2339565,0.00007986443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002127846,0.001621484,0.9716583,0.001878579,0.0004430165,0.0001370201,0.00006159787,0.001002896,0.02106924],"genre_scores_gemma":[0.1120928,0.006165115,0.8423753,0.001198557,0.001437028,0.000492786,0.0002018846,0.0005908799,0.03544556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006017236,"threshold_uncertainty_score":0.01517278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06245119600640129,"score_gpt":0.3222426228355525,"score_spread":0.2597914268291512,"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."}}