{"id":"W2151667449","doi":"10.1109/tmc.2005.19","title":"Call admission control in wideband CDMA cellular networks by using fuzzy logic","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Call blocking; Computer science; Call Admission Control; Code division multiple access; Computer network; Handover; Fuzzy logic; Cellular network; Wideband; Blocking (statistics); Base station; Scheme (mathematics); Telecommunications; Wireless; Wireless network; Mathematics","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":[0.0006164141,0.0003902034,0.0003770654,0.0003788509,0.0005744811,0.000801862,0.0006103852,0.0006257566,0.0004897843],"category_scores_gemma":[0.001343572,0.0001537282,0.0003308434,0.0002890448,0.0006578806,0.0006297397,0.0002995112,0.0006059639,0.00008193644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008277395,"about_ca_system_score_gemma":0.0005998971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006902492,"about_ca_topic_score_gemma":0.00411878,"domain_scores_codex":[0.9995801,0.00008868008,0.00002882391,0.00008183924,0.0001707388,0.00004983452],"domain_scores_gemma":[0.9995541,0.0002394807,0.0000608127,0.00002128559,0.0001063141,0.00001802096],"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":[0.0004809899,0.0001790396,0.002182572,0.0002436945,0.0001097726,0.00063662,0.0004986011,0.6130341,0.0615514,0.0525737,0.001441922,0.2670676],"study_design_scores_gemma":[0.00002772934,0.00006297657,0.0002368057,0.00001193123,0.00003022055,0.00006992291,0.00002003309,0.9879274,0.003209512,0.007648437,0.0007358443,0.00001927832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05829927,0.0008612999,0.9371476,0.000191754,0.00007113807,0.00005196746,0.00002284753,0.0002567112,0.003097349],"genre_scores_gemma":[0.929271,0.0003904154,0.06914394,0.00008364581,0.00005030491,0.00004789054,0.00001874405,0.000006747413,0.0009873634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006902492,"threshold_uncertainty_score":0.01372463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238673601283529,"score_gpt":0.2845824088462968,"score_spread":0.2621956728334615,"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."}}