{"id":"W2139941555","doi":"10.1109/glocom.2007.908","title":"Resource Allocation for Conversational, Streaming, and Interactive Services in Cellular/WLAN Interworking","year":2007,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Handover; Exploit; Session (web analytics); Resource allocation; Service (business); Provisioning; IT service continuity; Cellular network; Scheme (mathematics); Wireless; Wireless network; Call Admission Control; Quality of service; Telecommunications; Computer security; World Wide Web","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":[0.0004350008,0.0001293934,0.0001321862,0.0001122255,0.00003284355,0.00004329646,0.00008930183,0.0000898935,0.0000274548],"category_scores_gemma":[0.00001345722,0.0001400726,0.00002711329,0.0001115611,0.00002369557,0.0002013175,0.00003939865,0.0001426586,0.000003004275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436749,"about_ca_system_score_gemma":0.000005208865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001128054,"about_ca_topic_score_gemma":0.002771655,"domain_scores_codex":[0.999216,0.00001744727,0.0002466553,0.0002002041,0.00009332705,0.0002264279],"domain_scores_gemma":[0.9994423,0.000303545,0.00003984745,0.0001273265,0.00003949071,0.00004746472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0027589,0.001093423,0.4134906,0.006014157,0.001039004,0.00006901154,0.1396147,0.05433749,0.06143303,0.0249106,0.002991063,0.292248],"study_design_scores_gemma":[0.002138653,0.00009531841,0.0339121,0.0003258415,0.00003915801,0.000005927293,0.008601769,0.9127285,0.02089592,0.001308867,0.019387,0.0005609529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984106,0.0002917837,0.09762669,0.00005352571,0.0002812148,0.0004020033,0.000004363673,0.0001472248,0.002782659],"genre_scores_gemma":[0.998586,0.00001098765,0.0009869474,0.00008913899,0.0001430019,0.00001800498,0.00005936496,0.00002141473,0.00008516433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.858391,"threshold_uncertainty_score":0.5711997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007197438333522317,"score_gpt":0.2243167604031396,"score_spread":0.2171193220696173,"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."}}