{"id":"W4256309050","doi":"10.1002/wcm.691","title":"Efficient call admission control scheme for 4G wireless networks","year":2008,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer network; Quality of service; Handover; Wireless network; UMTS frequency bands; WiMAX; Wireless broadband; Wi-Fi; Heterogeneous network; Call Admission Control; Wireless; Telecommunications","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":[0.002426119,0.0008025167,0.001029345,0.001471222,0.001636911,0.001781727,0.00176892,0.0009973547,0.003028702],"category_scores_gemma":[0.006333317,0.0002625916,0.0003374226,0.0008098759,0.00110686,0.001089908,0.001342275,0.001811146,0.0003953952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926177,"about_ca_system_score_gemma":0.001779295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009495095,"about_ca_topic_score_gemma":0.006612,"domain_scores_codex":[0.9979467,0.000551985,0.0001124435,0.0002216957,0.0007432064,0.0004240441],"domain_scores_gemma":[0.9966698,0.001678439,0.000385015,0.0002948105,0.0007409986,0.0002308354],"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":[0.002030444,0.0005039133,0.00269928,0.0001577107,0.0001391749,0.000475445,0.0006296971,0.559056,0.03511772,0.06616159,0.008162228,0.3248668],"study_design_scores_gemma":[0.00004321737,0.00004836757,0.0002188687,0.000005591765,0.00001818049,0.00003683051,0.00001709005,0.991829,0.002079305,0.004751944,0.0009286764,0.00002286965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1449115,0.001534425,0.8412734,0.0009862452,0.0005093307,0.0004113084,0.0001203252,0.00278685,0.007466651],"genre_scores_gemma":[0.9817016,0.000113801,0.01623198,0.00009136285,0.0001003394,0.0000742582,0.00004031124,0.00001560566,0.001630795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009495095,"threshold_uncertainty_score":0.02123094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208712451035242,"score_gpt":0.3006362931223236,"score_spread":0.2685491686119712,"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."}}