{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001074268,0.0003257976,0.0004885535,0.0002048283,0.002493419,0.0002233754,0.004189772,0.0001925223,0.000003205167],"category_scores_gemma":[0.00007147201,0.0003255566,0.0001560839,0.0007362884,0.0004878653,0.0001709383,0.002854198,0.0006509891,0.000007542077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107384,"about_ca_system_score_gemma":0.0002456732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005251242,"about_ca_topic_score_gemma":0.00001692905,"domain_scores_codex":[0.9970248,0.0004941103,0.0007260696,0.000644434,0.0003724793,0.0007381433],"domain_scores_gemma":[0.99225,0.002536282,0.00032664,0.003988593,0.0005424845,0.0003559659],"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":[0.00009347196,0.001572483,0.005838955,0.000175777,0.0002144013,0.00001293396,0.004430646,0.2070507,0.003018272,0.09247586,0.002820371,0.6822961],"study_design_scores_gemma":[0.001257467,0.0001136998,0.000938073,0.0001477096,0.000008173882,0.00005281864,0.0000680141,0.9888672,0.00006004061,0.0000450411,0.00808341,0.0003583028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1696182,0.004612448,0.8227032,0.00102817,0.0001337773,0.001209828,0.000006432701,0.0003631875,0.0003247499],"genre_scores_gemma":[0.930585,0.002263583,0.06623058,0.0002411418,0.00009736198,0.0004093727,0.0000341306,0.0000416842,0.00009715703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7818165,"threshold_uncertainty_score":0.9999197,"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."}}