{"id":"W2390272883","doi":"","title":"Mobile IPv6 Mobility Improvement","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mobile IP; Computer network; Host (biology); Handover; Network packet; Mobility model; Scheme (mathematics); IPv6; Mobile computing; Distributed computing; The Internet; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008179215,0.0007052278,0.0004742515,0.001031473,0.0007729734,0.0008065028,0.001060696,0.0006262583,0.004395708],"category_scores_gemma":[0.002537547,0.000204072,0.000663963,0.001119211,0.0003654459,0.002622702,0.001478722,0.001065848,0.00214357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430551,"about_ca_system_score_gemma":0.0003946678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008135837,"about_ca_topic_score_gemma":0.0004868699,"domain_scores_codex":[0.9991207,0.0001701577,0.00004969939,0.0001216889,0.0004096167,0.0001282374],"domain_scores_gemma":[0.9992037,0.0001234297,0.00006225022,0.0001759129,0.0004029264,0.00003163274],"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":[0.0001762866,0.0001493099,0.002463439,0.0005066884,0.00005255826,0.0002927,0.0004341759,0.01571545,0.04051242,0.06672271,0.01790793,0.8550664],"study_design_scores_gemma":[0.00008689337,0.0005968498,0.003869873,0.000312984,0.0001942317,0.003923582,0.0005262435,0.1118612,0.07994194,0.03849971,0.7600611,0.0001253432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07153654,0.02348625,0.766687,0.004332578,0.002525074,0.0003936749,0.0004128965,0.005529045,0.1250968],"genre_scores_gemma":[0.634796,0.02251348,0.2881254,0.001071338,0.001428633,0.000219882,0.001158875,0.0005097817,0.05017669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004395708,"threshold_uncertainty_score":0.01470506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003899470197974259,"score_gpt":0.2072438388592966,"score_spread":0.2033443686613223,"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."}}