{"id":"W1982327179","doi":"10.1145/1551950.1551971","title":"Facilitating 4G convergence using IMS","year":2009,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"IP Multimedia Subsystem; Computer science; Quality of service; 3rd Generation Partnership Project 2; Computer network; Next-generation network; Convergence (economics); Authentication (law); Service (business); Wireless; Telecommunications; Computer security; World Wide Web; Telecommunications link; The Internet","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":[0.001125931,0.0005349625,0.0003052415,0.0008027163,0.0007325358,0.001238415,0.0005890779,0.0007166435,0.004265797],"category_scores_gemma":[0.001534284,0.0001630086,0.0002311553,0.0004906986,0.0005008159,0.002025427,0.002606522,0.0008379846,0.001551804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006280444,"about_ca_system_score_gemma":0.0006690284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000889465,"about_ca_topic_score_gemma":0.0008368292,"domain_scores_codex":[0.9993423,0.0002257342,0.00003879515,0.00005741831,0.0002177524,0.0001180105],"domain_scores_gemma":[0.9995314,0.0001196063,0.00004282701,0.0001205521,0.0001501917,0.00003550606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003285948,0.0001536326,0.002473354,0.0002678925,0.0000414835,0.0009092274,0.001573778,0.02767258,0.08033671,0.3635358,0.01304135,0.5096655],"study_design_scores_gemma":[0.00009598461,0.0005474839,0.002613493,0.0003221442,0.0001288542,0.00254735,0.001473905,0.3871891,0.1463808,0.08442859,0.3741303,0.0001420179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0891284,0.00182081,0.7164231,0.001153216,0.0003956522,0.0003326319,0.00009646227,0.002980812,0.187669],"genre_scores_gemma":[0.7984709,0.002449657,0.1762557,0.0003475292,0.0003430155,0.0001916692,0.000224915,0.0001415245,0.02157504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004265797,"threshold_uncertainty_score":0.01427048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426332677550977,"score_gpt":0.2328705358788981,"score_spread":0.2186072091033883,"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."}}