{"id":"W2122544102","doi":"10.1109/lcn.2006.322163","title":"Towards Minimizing Service Degradation during MIPv6 Handovers","year":2006,"lang":"en","type":"article","venue":"Conference on Local Computer Networks","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Handover; Quality of service; Computer science; Computer network; Path (computing); Service (business); Scheme (mathematics); Mobile QoS; Degradation (telecommunications); Distributed computing; Service provider; Telecommunications","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":[0.0016339,0.001037595,0.0009502631,0.000616608,0.0009459087,0.00134402,0.001192936,0.001241444,0.001197471],"category_scores_gemma":[0.009147234,0.0002498004,0.0002235809,0.0006880698,0.0003982349,0.001219607,0.001109576,0.0009264708,0.0007394401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566534,"about_ca_system_score_gemma":0.0007922548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247012,"about_ca_topic_score_gemma":0.001625173,"domain_scores_codex":[0.9979088,0.0004134055,0.0001104725,0.0002112049,0.0008837967,0.0004723549],"domain_scores_gemma":[0.9956278,0.001258097,0.0005107415,0.0008377155,0.001454378,0.000311319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003708972,0.0008450465,0.01850121,0.0004662662,0.000126992,0.0007740094,0.0009775157,0.1569445,0.4056351,0.00473038,0.004376059,0.402914],"study_design_scores_gemma":[0.00009459847,0.002080924,0.02105264,0.00007611037,0.0001766794,0.001986442,0.0008458167,0.7299513,0.2276025,0.004668646,0.01140627,0.00005800462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7525214,0.002554992,0.2353272,0.0007403591,0.0001430447,0.0001231122,0.0001419767,0.002459987,0.005987862],"genre_scores_gemma":[0.9715043,0.0002947452,0.02586881,0.0001620147,0.00005832892,0.00003697738,0.0002035097,0.0001368853,0.001734399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002247012,"threshold_uncertainty_score":0.008641005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176255236147275,"score_gpt":0.1964896904365518,"score_spread":0.1847271380750791,"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."}}