{"id":"W437415284","doi":"10.1007/978-1-4615-0225-8_2","title":"Fast Soft Handoff Support and Diffserv Resource Allocation in Wireless Mobile Internet","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Handover; Internet access; Wireless network; The Internet; Quality of service; Wireless; Code division multiple access; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002287672,0.0006274197,0.0003420791,0.0002975971,0.000253201,0.001026508,0.0007949345,0.0006342545,0.004666746],"category_scores_gemma":[0.0003987644,0.0003654425,0.0001719536,0.0006667745,0.0003433538,0.001538292,0.0004336204,0.0009984281,0.001495265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512,"about_ca_system_score_gemma":0.0002707498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005419165,"about_ca_topic_score_gemma":0.0009951645,"domain_scores_codex":[0.9998693,0.0000196463,0.000005707074,0.00001500058,0.00007669685,0.00001356825],"domain_scores_gemma":[0.9998509,0.00009123317,0.000005005784,0.00002172674,0.00002596086,0.000005178238],"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":[0.0001030504,0.00008400682,0.0001945994,0.0002634836,0.00001756267,0.0001684774,0.0002206082,0.0183778,0.02100624,0.1316447,0.03452077,0.7933987],"study_design_scores_gemma":[0.00002944174,0.0001983334,0.001443295,0.0002747246,0.00006132956,0.0009968542,0.0001790178,0.2321514,0.02555597,0.2677189,0.4713306,0.00006016457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01910182,0.04529918,0.7813084,0.001313812,0.001543142,0.0001049777,0.0001722129,0.001361073,0.1497954],"genre_scores_gemma":[0.2641893,0.05256344,0.2297496,0.0009216127,0.001919457,0.000245297,0.0006620052,0.00048722,0.4492621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004666746,"threshold_uncertainty_score":0.01561183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007083713011666537,"score_gpt":0.190020185476695,"score_spread":0.1829364724650284,"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."}}