{"id":"W2002477722","doi":"10.1109/aina.2012.130","title":"An Architecture for Heterogeneous Data Dissemination Using IMS","year":2012,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Dissemination; Field-programmable gate array; Session (web analytics); Architecture; Limiting; Computer network; Data exchange; Protocol (science); Data transmission; Distributed computing; Computer architecture; Embedded system; Telecommunications; Database; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798231,0.0001450514,0.0001301112,0.00003882873,0.00005913135,0.00004188102,0.0002887804,0.00009587264,0.00005607414],"category_scores_gemma":[0.00001934359,0.0001371191,0.00003460909,0.00007590156,0.00001819293,0.0003966621,0.00006996009,0.0001032182,0.000004320741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005860779,"about_ca_system_score_gemma":0.000004618131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001518354,"about_ca_topic_score_gemma":0.0001104695,"domain_scores_codex":[0.9991403,0.00002200737,0.0001569647,0.0001974062,0.0001090518,0.0003742352],"domain_scores_gemma":[0.9990416,0.0000755509,0.00001987409,0.0007274465,0.00002281752,0.0001127118],"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":[0.0001757016,0.0008578272,0.01049784,0.001125847,0.0003450543,0.000006420056,0.0055221,0.5168138,0.1100388,0.001109829,0.006799474,0.3467073],"study_design_scores_gemma":[0.000190069,0.00002588833,0.0004656466,0.00001506149,0.00004367846,0.00002450883,0.00003446704,0.9831443,0.01060011,0.0002676983,0.004922741,0.0002657953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5583603,0.0006287291,0.4392344,0.00001054038,0.0007713323,0.00036096,0.00009408638,0.0002998618,0.0002397279],"genre_scores_gemma":[0.9869134,0.000006359171,0.01197521,0.00002434574,0.0006979402,0.0000137871,0.0003063127,0.00004374266,0.00001893526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663306,"threshold_uncertainty_score":0.5591554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143431363279887,"score_gpt":0.3072323924126504,"score_spread":0.2757980787798515,"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."}}