{"id":"W2162532594","doi":"10.1109/ccece.2005.1557244","title":"Prediction-based advanced resource reservation in mobile environments","year":2006,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reservation; Computer science; Robustness (evolution); Quality of service; Computer network; Protocol (science); Mobile computing; Wireless; Resource Reservation Protocol; Distributed computing; Wireless Application Protocol; Wireless network; World Wide Web; Telecommunications; Internet protocol suite; The Internet","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":[0.000670763,0.0002799802,0.0003466903,0.0001988353,0.0003769646,0.0005687591,0.0008475181,0.0003242033,0.0005152298],"category_scores_gemma":[0.001371472,0.0002123955,0.0001978332,0.000250791,0.0004184485,0.0009338582,0.0005993219,0.0005891411,0.0002093948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003316297,"about_ca_system_score_gemma":0.0006149298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004229713,"about_ca_topic_score_gemma":0.004205474,"domain_scores_codex":[0.9996793,0.00008189281,0.00001886506,0.00004591388,0.0001327798,0.00004127206],"domain_scores_gemma":[0.9995468,0.0002220753,0.00004339496,0.00007298932,0.00008476588,0.00003002849],"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":[0.0003655698,0.00008864812,0.002291437,0.00008406093,0.00004445015,0.0003937347,0.0003233735,0.7423604,0.02222337,0.05039075,0.003476885,0.1779574],"study_design_scores_gemma":[0.00001122689,0.00002561308,0.0001495685,0.000004446232,0.000006976258,0.00003499628,0.00002050898,0.9898981,0.002167154,0.00582669,0.001844939,0.000009842925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03948739,0.0004913362,0.956286,0.000253855,0.00008018586,0.00003324459,0.00003762094,0.001213253,0.002117078],"genre_scores_gemma":[0.8827108,0.0004650607,0.1146062,0.00006737259,0.00006246915,0.00005098404,0.0001221906,0.00004908528,0.001865753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004229713,"threshold_uncertainty_score":0.008410215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005319827493959294,"score_gpt":0.1805409736708438,"score_spread":0.1752211461768845,"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."}}