{"id":"W2099196118","doi":"10.1109/ccece.2004.1349764","title":"Performance considerations for managing users' mobility in mobile systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Mobile telephony; Mobility management; Mobile computing; Cellular network; Computer network; Scheme (mathematics); Mobile radio","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":[0.003968063,0.00104796,0.0008657809,0.001049374,0.001066916,0.002134183,0.001144681,0.001183922,0.003210437],"category_scores_gemma":[0.02349208,0.000232355,0.0002961598,0.001309812,0.0008114568,0.002928913,0.001252952,0.0008476934,0.0005072895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581118,"about_ca_system_score_gemma":0.0009788357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885363,"about_ca_topic_score_gemma":0.001161989,"domain_scores_codex":[0.9960674,0.001829261,0.000142565,0.0001992063,0.001122487,0.0006390793],"domain_scores_gemma":[0.9870805,0.009015158,0.0009266449,0.0006527828,0.001884729,0.0004401349],"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":[0.001613641,0.0003611518,0.01054272,0.0005185179,0.0001236066,0.0006580742,0.0004206485,0.6095734,0.03841148,0.1218096,0.005955613,0.2100115],"study_design_scores_gemma":[0.00005552485,0.001017495,0.003991072,0.00005838232,0.0001081768,0.0008600456,0.0003707739,0.9584134,0.009785768,0.02108637,0.004199532,0.00005345107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3763314,0.0113611,0.5510864,0.007432893,0.0004253321,0.0003521395,0.0001964147,0.001194104,0.05162011],"genre_scores_gemma":[0.9821041,0.0009572392,0.01509056,0.0001053263,0.0001885727,0.00005956511,0.00004406119,0.00003824913,0.001412273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003968063,"threshold_uncertainty_score":0.02098536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593222564896966,"score_gpt":0.3061576034426204,"score_spread":0.2602253777936507,"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."}}