{"id":"W2148522665","doi":"10.1109/glocom.2010.5684128","title":"A Novel Network Mobility Management Scheme for Vehicular Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Mobility management; Computer science; Vehicular ad hoc network; Wireless network; Mobility model; Wireless; Network topology; Radio resource management; Telecommunications; Wireless ad hoc network","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":[0.0007936777,0.0006023337,0.0005863916,0.0009109999,0.001279305,0.0009162041,0.001619701,0.0007597535,0.001209759],"category_scores_gemma":[0.001265242,0.0001642409,0.0004236704,0.0009189025,0.0004341642,0.001831795,0.001669629,0.000887925,0.0006322004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008370505,"about_ca_system_score_gemma":0.0007891291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516586,"about_ca_topic_score_gemma":0.001746133,"domain_scores_codex":[0.999342,0.0001498217,0.00006806099,0.0001118233,0.0002219574,0.0001063322],"domain_scores_gemma":[0.9995597,0.00006283088,0.00005828411,0.00009846909,0.0001730857,0.00004755536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004673416,0.0001989517,0.001256947,0.0003543807,0.000108971,0.0009075027,0.0006108854,0.05411146,0.0586082,0.2096018,0.02187085,0.6519027],"study_design_scores_gemma":[0.0001476895,0.0005662737,0.0007444535,0.00009214265,0.000160978,0.002024391,0.0002248051,0.660463,0.0240793,0.03701786,0.2742985,0.0001804966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0154159,0.002761584,0.9644779,0.0006573019,0.001040542,0.0004669063,0.0001890604,0.001940547,0.01305029],"genre_scores_gemma":[0.6459105,0.002969109,0.3291804,0.0004924981,0.0005427817,0.0009261107,0.001066705,0.0001041953,0.01880765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001619701,"threshold_uncertainty_score":0.006073296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797596838562424,"score_gpt":0.2070505344111739,"score_spread":0.2002529375726115,"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."}}