{"id":"W1722371464","doi":"10.1109/glocom.2000.891745","title":"Novel system modeling in call admission control for wireless personal communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Call Admission Control; Computer science; Computer network; Queue; Quality of service; Wireless; Admission control; Call management; Priority queue; Queueing theory; Service (business); Call control; Real-time computing; Telecommunications; Wireless network","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":[0.0009181477,0.001138588,0.0009491809,0.0005441023,0.0008599517,0.001774219,0.001817103,0.00213457,0.002382801],"category_scores_gemma":[0.002639869,0.0004908908,0.0009775539,0.000766955,0.001033916,0.002208404,0.001350454,0.002495149,0.0008621218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678971,"about_ca_system_score_gemma":0.001480551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007544046,"about_ca_topic_score_gemma":0.003588436,"domain_scores_codex":[0.9989537,0.0003254115,0.00003665774,0.0001544351,0.0004148318,0.0001148368],"domain_scores_gemma":[0.9994411,0.0002814568,0.00007234214,0.00005054705,0.0001242275,0.0000303478],"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":[0.00002990878,0.00006283345,0.0003237263,0.0000808367,0.0000371938,0.0001771551,0.000219277,0.7535731,0.003247311,0.2264272,0.001830472,0.01399111],"study_design_scores_gemma":[0.000003439255,0.00000777173,0.00003070289,0.00000432557,0.000005418835,0.00001953909,0.000005940522,0.9867757,0.0001438499,0.01167353,0.001323087,0.000006706375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006318909,0.0006818,0.9830598,0.0005431905,0.0002077395,0.00005258472,0.000055188,0.0001989122,0.008881873],"genre_scores_gemma":[0.786052,0.003303311,0.1792902,0.0006685319,0.001033055,0.0005879937,0.0002504537,0.0002072812,0.02860707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007544046,"threshold_uncertainty_score":0.01500028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209540136362087,"score_gpt":0.3127019128053182,"score_spread":0.1917478991691095,"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."}}