{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002123698,0.0001721995,0.0001830344,0.00003956472,0.00006891959,0.000035562,0.0001459212,0.00009040493,0.00038805],"category_scores_gemma":[0.00004372116,0.000178249,0.0000660919,0.0001978684,0.00002984029,0.0002215037,0.00002438845,0.000191851,0.0000804159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027759,"about_ca_system_score_gemma":0.00001154329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000536029,"about_ca_topic_score_gemma":0.00003164094,"domain_scores_codex":[0.9989477,0.00002489262,0.0002611343,0.0002105457,0.0001676736,0.0003880032],"domain_scores_gemma":[0.9994922,0.00008098385,0.00002047021,0.0002770411,0.00003979882,0.00008953836],"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":[0.0000579916,0.0002213821,0.009418875,0.0004380307,0.0001496674,0.00006532444,0.008304381,0.780207,0.09278475,0.007981886,0.005610134,0.0947606],"study_design_scores_gemma":[0.0003392748,0.00003976742,0.002233373,0.00002955805,0.00001581943,0.00001012942,0.0003307362,0.9873618,0.006023324,0.001900742,0.001322741,0.0003926604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157456,0.0006091729,0.07062852,0.00002356542,0.0008565215,0.0001914058,0.000005779045,0.000675433,0.01126396],"genre_scores_gemma":[0.9930694,0.00001873168,0.006494625,0.0001157852,0.0001370603,0.000002610281,0.000003334294,0.00001528846,0.0001431863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2071549,"threshold_uncertainty_score":0.7268785,"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."}}