{"id":"W2026907187","doi":"10.1155/2010/130137","title":"EXtending Mobility to Publish/Subscribe Systems Using a Pro-Active Caching Approach","year":2010,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Testbed; Computer science; Publication; Scheme (mathematics); Computer network; Mobility management; Mobility model; Distributed computing; Wireless; Mobile device; World Wide Web; Telecommunications","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001770398,0.000266149,0.0003670329,0.0004666373,0.0004347426,0.002835214,0.0009867082,0.0001628413,0.000002140774],"category_scores_gemma":[0.0001479949,0.0002430954,0.0001108488,0.0007091543,0.00002952485,0.008031701,0.000323676,0.0004949991,0.00009333831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617844,"about_ca_system_score_gemma":0.000144796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273175,"about_ca_topic_score_gemma":0.00000684624,"domain_scores_codex":[0.9973836,0.0001601033,0.0008637526,0.0003934445,0.0007180015,0.0004810744],"domain_scores_gemma":[0.9977619,0.00008175024,0.0004155018,0.001003115,0.0004760975,0.0002616509],"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":[0.00009445489,0.0004758142,0.002752916,0.001604076,0.0002149857,0.0000131616,0.03789623,0.7928904,0.0283526,0.07929724,0.002566318,0.05384176],"study_design_scores_gemma":[0.0002872393,0.000057071,0.0002511506,0.00009091525,0.000008058073,0.0001947886,0.003658036,0.9792661,0.0001370976,0.000007725601,0.01567059,0.0003712252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4116959,0.00005506338,0.5766415,0.00001870601,0.004117665,0.001880301,0.00002528648,0.0004662196,0.005099342],"genre_scores_gemma":[0.9972301,7.5522e-7,0.001597065,0.00008851839,0.0002254774,0.000722182,0.00002528273,0.00001271756,0.00009797082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5855341,"threshold_uncertainty_score":0.9981999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587505650069252,"score_gpt":0.2516896424118681,"score_spread":0.2258145859111756,"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."}}