{"id":"W2094466693","doi":"10.1109/glocom.2010.5684018","title":"An Efficient Hybrid HIP-PMIPv6 Scheme for Seamless Internet Access in Urban Vehicular Scenarios","year":2010,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Proxy Mobile IPv6; Mobility management; Handover; Computer science; Router; Mobility model; Network packet; The Internet; Scheme (mathematics); Mobile IP","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005710955,0.0003257329,0.0003534342,0.0001516683,0.00004704247,0.0002109781,0.0007745299,0.0002000245,0.0002427994],"category_scores_gemma":[0.0000515587,0.0003218512,0.0001183204,0.0002221408,0.00006703355,0.0003234983,0.0001573572,0.0006609324,0.00002967301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378957,"about_ca_system_score_gemma":0.00003339075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001961544,"about_ca_topic_score_gemma":0.001103792,"domain_scores_codex":[0.9981126,0.00003702817,0.0004210784,0.0005095864,0.0002531076,0.0006666303],"domain_scores_gemma":[0.9988384,0.00008927684,0.00004251621,0.0007272739,0.00009260773,0.0002099429],"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":[0.0005733522,0.003158671,0.08370852,0.001730894,0.0003023272,0.0001397165,0.003647896,0.8219833,0.04248997,0.007584226,0.02202821,0.0126529],"study_design_scores_gemma":[0.001279339,0.00006012024,0.003055412,0.00003478931,0.0000158016,0.000007558337,0.00003265603,0.9625564,0.02693779,0.0001515909,0.005421293,0.0004472318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752953,0.0001095352,0.02054421,0.00003693514,0.00181655,0.0009629069,0.00002221026,0.0004834069,0.0007289562],"genre_scores_gemma":[0.9973246,0.000003869076,0.001741952,0.0000968215,0.0004425978,0.0001656363,0.00005994257,0.00007928719,0.00008522509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405731,"threshold_uncertainty_score":0.9999233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00985778181776216,"score_gpt":0.2493003026382712,"score_spread":0.2394425208205091,"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."}}