{"id":"W2047387131","doi":"10.1109/saint.2012.76","title":"An Adaptive Vertical Handover in Service Specific Overlay Networks","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; Computer network; Handover; Overlay network; Quality of service; Mobile QoS; Service (business); Node (physics); Vertical handover; Overlay; Service discovery; Heterogeneous network; Distributed computing; Service provider; Web service; Telecommunications; Wireless network; Engineering; World Wide Web; Wireless; Business","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":[0.0006461621,0.0003130817,0.0003405574,0.000469854,0.0006084055,0.0005507719,0.0006702119,0.0003891108,0.0004249737],"category_scores_gemma":[0.001105803,0.000159279,0.0002901382,0.0003727372,0.00036559,0.0008696491,0.001054772,0.000404758,0.0001434544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325515,"about_ca_system_score_gemma":0.0005226585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513629,"about_ca_topic_score_gemma":0.002273809,"domain_scores_codex":[0.9994352,0.0001460358,0.00002577515,0.00007856321,0.0002427343,0.00007175616],"domain_scores_gemma":[0.9996718,0.0001113251,0.00003776845,0.00006749939,0.00007162545,0.00004002931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003974318,0.0001504585,0.004580136,0.0001692596,0.0000999555,0.0005790103,0.0005409411,0.2312192,0.1802048,0.03927081,0.001809871,0.5409781],"study_design_scores_gemma":[0.00001968097,0.0001155047,0.0008870396,0.000009979974,0.00003407949,0.000305337,0.0001113225,0.9629303,0.02238161,0.005794712,0.00738577,0.00002463424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06981307,0.0003336048,0.9261302,0.00009208177,0.0000567268,0.00006677564,0.00002546481,0.0006813844,0.002800667],"genre_scores_gemma":[0.701965,0.0002865606,0.2954509,0.00004446667,0.00004052928,0.00005285868,0.00009249849,0.00005295784,0.002014289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002513629,"threshold_uncertainty_score":0.004998028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420402869692739,"score_gpt":0.2178473726415709,"score_spread":0.2036433439446435,"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."}}