{"id":"W159494048","doi":"10.1007/978-1-4614-4379-7_2","title":"Resource Allocation for Integrated Voice and Data Services","year":2012,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of New Brunswick","funders":"","keywords":"Computer network; Cellular network; Computer science; Quality of service; Resource allocation; Overlay network; Service (business); The Internet; 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":[0.0004795458,0.0006737043,0.0005533756,0.000412807,0.0003488139,0.00131903,0.001221117,0.0004777256,0.01134056],"category_scores_gemma":[0.0007994274,0.00028373,0.0002341514,0.0007309758,0.0003413045,0.001334532,0.0008655731,0.0006293557,0.001716048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008312272,"about_ca_system_score_gemma":0.0006043786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217002,"about_ca_topic_score_gemma":0.001773096,"domain_scores_codex":[0.9996468,0.00006160259,0.00001623353,0.00005302252,0.0001441033,0.00007835698],"domain_scores_gemma":[0.9998373,0.00007496351,0.000007573031,0.00002649769,0.00003695124,0.00001659688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004044772,0.0001608217,0.0002432755,0.0003187651,0.00006948217,0.0002172504,0.0001525712,0.1102188,0.02931498,0.1712395,0.02404783,0.6636122],"study_design_scores_gemma":[0.00006653743,0.0001306684,0.0007452287,0.0001268881,0.00006632633,0.0004193685,0.0001325124,0.7332394,0.012778,0.1627038,0.08954563,0.00004562073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02677302,0.01825555,0.8534973,0.0009449564,0.0009380974,0.0001474559,0.0001829436,0.001338482,0.09792209],"genre_scores_gemma":[0.6688183,0.009482373,0.232617,0.0004987159,0.0008502291,0.0003068274,0.0004818141,0.0004353276,0.08650934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01134056,"threshold_uncertainty_score":0.03793794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287498847334209,"score_gpt":0.2447124478192536,"score_spread":0.2218374593459115,"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."}}