{"id":"W2085037585","doi":"10.1142/s0219799504000325","title":"A HIERARCHICAL MICRO-MOBILITY MANAGEMENT MODEL WITH QoS CAPABILITY","year":2004,"lang":"en","type":"article","venue":"International Journal on Wireless & Optical Communications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Handover; Computer science; Computer network; Quality of service; Mobility management; Scalability; Mobile QoS; Robustness (evolution); Distributed computing; Paging; Service (business); Service provider","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":[0.0004686186,0.0003675764,0.0003047705,0.0003460914,0.0004801098,0.0009597858,0.001325737,0.0007611865,0.00229325],"category_scores_gemma":[0.0007437461,0.0002452951,0.0004843449,0.0004783232,0.0005640994,0.001836654,0.0007085915,0.0008234979,0.0007533981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111061,"about_ca_system_score_gemma":0.0009996322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784282,"about_ca_topic_score_gemma":0.004153137,"domain_scores_codex":[0.9996535,0.00008186078,0.00002228901,0.00006934321,0.0001107758,0.00006227265],"domain_scores_gemma":[0.9996262,0.0001023497,0.00006709302,0.00005734613,0.00009091842,0.00005615153],"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":[0.00006961919,0.00009898865,0.001026678,0.00009954292,0.0000352531,0.0002140979,0.0002679306,0.5721391,0.007974971,0.3842849,0.004065354,0.02972344],"study_design_scores_gemma":[0.00001319444,0.00003790286,0.0001634119,0.000007142045,0.0000121863,0.00004785625,0.00002395867,0.969138,0.0003644268,0.02566741,0.004511935,0.00001260914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04409418,0.0008638022,0.9332741,0.001253073,0.0001511174,0.0001213808,0.0002960501,0.0005083216,0.01943801],"genre_scores_gemma":[0.8360009,0.00126325,0.1436506,0.0002662456,0.0001647073,0.0004156597,0.0003397049,0.00006926751,0.01782971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004784282,"threshold_uncertainty_score":0.009512901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553193000335929,"score_gpt":0.2677510873844376,"score_spread":0.2522191573810784,"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."}}