{"id":"W2066280167","doi":"10.1109/noms.2010.5488467","title":"IMS network deployment cost optimization based on flow-based traffic model","year":2010,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Software deployment; IP Multimedia Subsystem; Server; Core network; Wireline; Network topology; Wireless network; Next-generation network; Distributed computing; Wireless; Quality of service; The Internet; Telecommunications; Software engineering","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":[0.001130015,0.001116275,0.0008712437,0.000824993,0.0004003883,0.001367743,0.001041253,0.00107836,0.003325211],"category_scores_gemma":[0.002176913,0.0005489785,0.0004827314,0.0009834119,0.0005890187,0.001796082,0.0006653243,0.0006999543,0.0003103772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003632946,"about_ca_system_score_gemma":0.00145796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008548178,"about_ca_topic_score_gemma":0.00604946,"domain_scores_codex":[0.999496,0.0002301647,0.00001071104,0.0000518764,0.0001113164,0.00009990736],"domain_scores_gemma":[0.9994386,0.0003449103,0.00005089524,0.00002347176,0.0001059027,0.00003624289],"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":[0.00001105987,0.00000785374,0.00005729036,0.000008541837,0.000002595724,0.000009845471,0.000003938374,0.9927809,0.0001960107,0.00486774,0.0002795577,0.001774793],"study_design_scores_gemma":[0.000001697366,0.000006684183,0.00003626063,0.000001248895,0.000001655465,0.000003249208,0.000003619655,0.9989051,0.00006397985,0.0008822941,0.00009266737,0.000001543531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08643844,0.0005033607,0.8849794,0.0008337466,0.00005752203,0.0001943805,0.00029217,0.0002673007,0.02643375],"genre_scores_gemma":[0.9142308,0.0006912716,0.07545008,0.00011016,0.00004308404,0.0002541831,0.000216266,0.0001125881,0.008891684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008548178,"threshold_uncertainty_score":0.02635902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007762661180655314,"score_gpt":0.2010209040497117,"score_spread":0.1932582428690564,"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."}}