{"id":"W2128921048","doi":"10.1109/lcn.2002.1181871","title":"Simulation of route optimization in Mobile IP","year":2003,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Datagram; Computer network; Computer science; Mobile IP; Triangular routing; IP forwarding; Mobile computing; Loose Source Routing; The Internet; Routing protocol; Distributed computing; Host (biology); Routing (electronic design automation); Wireless Routing Protocol; Link-state routing protocol; Operating system; Network packet","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":[0.0007034021,0.0005593461,0.0006325949,0.0005163591,0.0004649934,0.0005711094,0.0009300324,0.001033904,0.002494361],"category_scores_gemma":[0.002810243,0.0002796916,0.0004831326,0.0007179275,0.0005474545,0.0006036495,0.0005344123,0.0007657686,0.0002330281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009817465,"about_ca_system_score_gemma":0.0008881066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290729,"about_ca_topic_score_gemma":0.006620217,"domain_scores_codex":[0.9995677,0.0001936253,0.00002144507,0.00004182998,0.00009195371,0.00008338551],"domain_scores_gemma":[0.9976181,0.001604041,0.0001415921,0.0001558075,0.0003785105,0.0001018037],"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":[0.00004353684,0.00003980265,0.0004957764,0.00001795261,0.00001031581,0.00002923566,0.0000262765,0.9952672,0.0004269142,0.002132993,0.0002802041,0.00122984],"study_design_scores_gemma":[0.00001531812,0.00002582861,0.0001321149,0.000003309441,0.000004362496,0.000007344697,0.00001431395,0.9984413,0.0004149283,0.0005145324,0.0004230947,0.000003641847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807548,0.0005710347,0.1501868,0.0008448268,0.0002006014,0.0002740631,0.001619076,0.001339379,0.03741607],"genre_scores_gemma":[0.9675731,0.0001960961,0.02909613,0.00005832087,0.00001006846,0.0001609479,0.0005352587,0.00005059747,0.002319574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01290729,"threshold_uncertainty_score":0.02566433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007481824676096559,"score_gpt":0.2201568133298319,"score_spread":0.2126749886537353,"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."}}