{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017785,0.00008325432,0.0001270591,0.00006030667,0.000009922656,0.000008304102,0.0000468065,0.00008066811,0.0002675396],"category_scores_gemma":[0.00004085472,0.00008945169,0.00002785469,0.0002317349,0.00001155181,0.0001504609,0.000008097075,0.00007547284,0.000005974351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007514303,"about_ca_system_score_gemma":0.000007899081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001652339,"about_ca_topic_score_gemma":0.00006956596,"domain_scores_codex":[0.9993995,0.00003309515,0.000232679,0.000103993,0.00009338674,0.000137372],"domain_scores_gemma":[0.9996736,0.00007900075,0.00002191052,0.0001666157,0.00003470097,0.0000241646],"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":[0.000003801875,0.00002931881,0.002321162,0.00002790226,0.00000446757,3.442868e-7,0.0001471671,0.9964333,0.00003769767,0.0003180824,0.00001769011,0.0006591277],"study_design_scores_gemma":[0.0003455883,0.00001499202,0.0007146572,0.000009136157,0.000004575262,2.048731e-7,0.00002931266,0.9968764,0.001209202,0.000192058,0.0005149263,0.00008897438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4274313,0.000487595,0.5540342,0.00000250244,0.0004192457,0.000491252,0.000003746696,0.0002089016,0.01692122],"genre_scores_gemma":[0.9960088,0.00002749555,0.003822409,0.000008780614,0.00002025888,0.00001748678,0.000009525254,0.00001576507,0.00006952159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5685775,"threshold_uncertainty_score":0.3647734,"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."}}