{"id":"W2134458092","doi":"10.1109/secon.2005.1423294","title":"SIP End-to-End Security between Ipv4 Domain and Ipv6 Domain","year":2005,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; IPv6; End-to-end principle; Session Initiation Protocol; IPv4; Promela; Domain (mathematical analysis); The Internet; Operating system; Server; Formal verification; Programming language","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":[0.005061758,0.0004392796,0.000358672,0.0006000809,0.001307156,0.002281272,0.0007328375,0.0009568119,0.003417592],"category_scores_gemma":[0.004377791,0.0003897179,0.0005775355,0.0005093932,0.00168697,0.002057621,0.001885032,0.001500474,0.001551211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006848201,"about_ca_system_score_gemma":0.001767814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006302185,"about_ca_topic_score_gemma":0.0004810709,"domain_scores_codex":[0.9975745,0.001034108,0.0002143606,0.00013742,0.0007896759,0.0002499065],"domain_scores_gemma":[0.9973901,0.0009465769,0.000192823,0.0006923017,0.0006624755,0.0001156628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001156461,0.0003166512,0.004275438,0.001027975,0.0001778135,0.002175516,0.002990173,0.02115748,0.0741656,0.6856197,0.01884351,0.1880936],"study_design_scores_gemma":[0.0003214546,0.0009319992,0.003722991,0.000805283,0.0002928867,0.003678087,0.0012471,0.1401593,0.2047648,0.2193381,0.4244991,0.000238906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04282149,0.000690283,0.893349,0.0009087684,0.0003083995,0.0005416604,0.0003851702,0.003516546,0.0574786],"genre_scores_gemma":[0.6611785,0.00130325,0.3077825,0.001092689,0.0001319797,0.0009928833,0.001627431,0.0005248773,0.02536586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005061758,"threshold_uncertainty_score":0.02676946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006346820479877471,"score_gpt":0.2123021780774603,"score_spread":0.2059553575975828,"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."}}