{"id":"W2126618005","doi":"10.1186/2192-1962-2-16","title":"IP Multimedia subsystem authentication protocol in LTE-heterogeneous networks","year":2012,"lang":"en","type":"article","venue":"Human-centric Computing and Information Sciences","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; IP Multimedia Subsystem; Computer network; Authentication protocol; Authentication (law); Overhead (engineering); Authentication server; Quality of service; Computer security; Operating system","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":[0.001065556,0.0003395314,0.0003014739,0.0005176735,0.0006303356,0.001061125,0.0006876316,0.0006546723,0.0008175723],"category_scores_gemma":[0.001898324,0.000152684,0.0002780013,0.0005148423,0.0007538929,0.001244021,0.0009271871,0.0004435075,0.0002246538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563113,"about_ca_system_score_gemma":0.0009611804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047038,"about_ca_topic_score_gemma":0.002546786,"domain_scores_codex":[0.9991228,0.0003002287,0.00005849457,0.00006464245,0.0003131125,0.0001407554],"domain_scores_gemma":[0.9992021,0.0002121104,0.0001712269,0.0001792308,0.0001996816,0.0000357056],"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":[0.0003434239,0.0001077928,0.002451639,0.0001289516,0.0000634735,0.0008270917,0.0002472425,0.6190779,0.04356714,0.3003016,0.002976921,0.02990688],"study_design_scores_gemma":[0.00001400922,0.0001026435,0.0003326517,0.000009756983,0.00001553766,0.0000755316,0.00003274465,0.9824984,0.004164561,0.0107533,0.001988119,0.00001277747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2867884,0.0005713832,0.7015936,0.000455334,0.0001243962,0.000224108,0.0001856454,0.000677818,0.0093792],"genre_scores_gemma":[0.9841717,0.0001368411,0.01458875,0.00003468633,0.00001453785,0.00005805034,0.00008012429,0.000007936004,0.0009075052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0047038,"threshold_uncertainty_score":0.01134127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830294733681473,"score_gpt":0.3275309823069831,"score_spread":0.2992280349701684,"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."}}