{"id":"W2067235323","doi":"10.7125/apan.32.10","title":"Experiences with SeaMo: A Vertical Handoff Implementation for Heterogeneous Wireless Networks","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Asia-Pacific Advanced Network","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southeastern Ontario Academic Medical Organization","keywords":"Handover; Computer science; Computer network; Wireless network; Vertical handover; Wireless; Heterogeneous network; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003064018,0.0003992621,0.0004700777,0.00004309476,0.0002551602,0.0000541789,0.0005172539,0.0001522186,0.00003108041],"category_scores_gemma":[0.00001657247,0.000306664,0.0001720866,0.0005278853,0.0002494188,0.0004060768,0.0001165323,0.0002718419,0.000001322272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008675205,"about_ca_system_score_gemma":0.00001963956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004861804,"about_ca_topic_score_gemma":0.00003254578,"domain_scores_codex":[0.9977732,0.00001318635,0.0005382905,0.0004718519,0.0003303764,0.00087306],"domain_scores_gemma":[0.9991049,0.00008499399,0.0001677841,0.0002726925,0.0002256957,0.0001439698],"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":[0.01762032,0.001472102,0.08332227,0.003373132,0.00285917,0.00002050441,0.1246099,0.5676748,0.01255058,0.01993572,0.02241805,0.1441435],"study_design_scores_gemma":[0.01207331,0.003165096,0.004710095,0.001412543,0.0009711614,0.0002272271,0.07270879,0.5637686,0.3160799,0.01246466,0.008328975,0.004089671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722815,0.001015147,0.02148993,0.00003419421,0.001270439,0.001913257,0.000009404445,0.000363976,0.001622205],"genre_scores_gemma":[0.9944537,0.00008041241,0.004049449,0.00002343343,0.0004320613,0.0008296311,0.00000692913,0.00009136694,0.00003306074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035293,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035837890798104,"score_gpt":0.2203369326876323,"score_spread":0.2099785537796512,"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."}}