{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149537,0.0001602185,0.0002584634,0.0001259832,0.0001171237,0.00008329809,0.000470276,0.00007409469,0.000005308269],"category_scores_gemma":[0.00006249999,0.0001339679,0.00008051988,0.0003585331,0.00006568268,0.0008363068,0.000164252,0.0002378288,0.00008089063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913585,"about_ca_system_score_gemma":0.0001177442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003021874,"about_ca_topic_score_gemma":0.0001764748,"domain_scores_codex":[0.9984339,0.0001548108,0.0002635811,0.0005320464,0.0002948818,0.0003207597],"domain_scores_gemma":[0.9989924,0.0001233068,0.00007576642,0.0005793282,0.0001352107,0.0000939463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003767772,0.01406443,0.3806754,0.0006406425,0.001085702,0.005822088,0.07980626,0.004358757,0.1236354,0.2170634,0.05545878,0.1136214],"study_design_scores_gemma":[0.007989415,0.001148868,0.5337847,0.000442837,0.00004067924,0.00134058,0.002925468,0.3655498,0.07350155,0.002619734,0.007588358,0.003068008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650734,0.0001400526,0.0221877,0.0003074891,0.000495815,0.0004758136,0.000003639272,0.0002551583,0.01106092],"genre_scores_gemma":[0.9981817,0.00002004306,0.0002018368,0.000180893,0.00004434973,0.00008399217,0.000002092582,0.00000711595,0.001278003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.361191,"threshold_uncertainty_score":0.5463051,"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."}}