{"id":"W2097666420","doi":"10.1109/wimob.2008.19","title":"Subscriber Mobility in Pub/Sub Systems: Pro-active vs. Reactive Handoffs","year":2008,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Testbed; Handover; Transfer (computing); Context (archaeology); Throughput; Mobility management; Mobile telephony; Distributed computing; Mobile radio; Telecommunications; Wireless; Operating system","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":[0.002858598,0.0007064312,0.0005931901,0.0007834467,0.0008216118,0.001656106,0.001465378,0.001021374,0.0008089172],"category_scores_gemma":[0.005503535,0.0003580017,0.0004332342,0.0006256304,0.0007447749,0.002711504,0.0009107964,0.00095565,0.0002312774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009552112,"about_ca_system_score_gemma":0.0007283977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258162,"about_ca_topic_score_gemma":0.001992596,"domain_scores_codex":[0.9978289,0.0006710212,0.0001509218,0.0002433802,0.0007371163,0.0003685752],"domain_scores_gemma":[0.9963959,0.001425728,0.0005480341,0.0008487572,0.0004868052,0.0002948509],"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":[0.003162678,0.001700353,0.03401091,0.0004724848,0.0003963656,0.00146327,0.001503572,0.3885189,0.2114013,0.1008482,0.004174974,0.2523468],"study_design_scores_gemma":[0.0001141586,0.0005453564,0.004323138,0.00001844284,0.0001503432,0.0005766081,0.0002784364,0.9679018,0.01618662,0.006372145,0.003482653,0.00005027224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6141881,0.001802869,0.3711159,0.001136578,0.0002206759,0.0002936264,0.0000797961,0.001539446,0.009623082],"genre_scores_gemma":[0.9769117,0.0002164884,0.02166585,0.0000823419,0.00007654905,0.00003025742,0.00002991176,0.00003415942,0.0009527546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002858598,"threshold_uncertainty_score":0.01511788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031641633932899,"score_gpt":0.22054245311306,"score_spread":0.188900819180161,"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."}}