{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006370214,0.0000732426,0.0001135539,0.0001186692,0.0001779891,0.0002022459,0.0006420871,0.00003748934,0.000006955724],"category_scores_gemma":[0.00004350743,0.00007002197,0.00002716689,0.0003396898,0.00004399335,0.0005702803,0.0002470629,0.0001268792,0.0000214474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535141,"about_ca_system_score_gemma":0.0001308815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00012627,"about_ca_topic_score_gemma":0.0001691964,"domain_scores_codex":[0.9990184,0.00006319841,0.0002442059,0.000246994,0.0001672971,0.0002599063],"domain_scores_gemma":[0.9984936,0.0003792883,0.00003489885,0.0009171853,0.0001210616,0.00005398556],"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":[0.000003289246,0.0001410575,0.001964389,0.00005736584,0.000005781149,0.000001430032,0.0005734329,0.7293503,0.00008427568,0.2633506,0.0002271865,0.004240881],"study_design_scores_gemma":[0.0005032078,0.00005149831,0.002382451,0.00003786273,6.064685e-7,0.000006057841,0.0001150004,0.990617,0.0003131643,0.005313354,0.0005511725,0.0001085968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2804767,0.0004387146,0.7083721,0.002076484,0.0002117995,0.001878161,0.000001716979,0.000266282,0.006278124],"genre_scores_gemma":[0.9592971,0.00008563167,0.0396699,0.00007704699,0.00001585293,0.0007010491,0.000001458514,0.00000527139,0.0001466928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6788204,"threshold_uncertainty_score":0.2855413,"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."}}