{"id":"W2155209614","doi":"10.1109/vetecs.2008.491","title":"Mobility Prediction and Spatial-Temporal Traffic Estimation in Wireless Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wireless network; Computer network; Reservation; Quality of service; Mobility model; Network traffic control; Radio resource management; Cellular network; Bandwidth (computing); Wireless; Traffic generation model; Distributed computing; Markov process; Network packet; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001290202,0.0003382733,0.0003938291,0.000907945,0.0003095793,0.0005504296,0.0007481299,0.0005900222,0.0003458943],"category_scores_gemma":[0.007134657,0.00040335,0.0003908669,0.000828458,0.0006299066,0.001264805,0.0005179881,0.000519291,0.0001096369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000730606,"about_ca_system_score_gemma":0.0006564676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312316,"about_ca_topic_score_gemma":0.007607558,"domain_scores_codex":[0.9995964,0.0001537378,0.00002269239,0.0000601719,0.0001163857,0.00005057245],"domain_scores_gemma":[0.997352,0.001938798,0.0002950553,0.0001227231,0.0002326912,0.00005875734],"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":[0.00003993661,0.0000161669,0.004365529,0.00001681767,0.00002101475,0.00003155518,0.0000292986,0.9622379,0.0005375462,0.007383533,0.0001917215,0.02512906],"study_design_scores_gemma":[7.441538e-7,0.00000268591,0.0002050734,0.00000157303,0.000001715275,0.000006033923,0.000003494972,0.9975113,0.0001062875,0.002112268,0.00004706654,0.000001740636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1095844,0.0005512055,0.8881723,0.0004034952,0.00003134156,0.00001789278,0.00007447486,0.0003541056,0.0008108666],"genre_scores_gemma":[0.9678507,0.0004576943,0.03084552,0.00002889246,0.00005887837,0.00003211941,0.0001090545,0.00001572856,0.000601516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01312316,"threshold_uncertainty_score":0.02609354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609894718925162,"score_gpt":0.2663561005091845,"score_spread":0.2402571533199328,"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."}}