{"id":"W2017518596","doi":"10.1109/icdt.2006.34","title":"Distributed Connection Admission Control and Dynamic Channel Allocation in Ad hoc-Cellular Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Distributed computing; Hop (telecommunications); Distributed algorithm; Wireless network; Wireless; Load balancing (electrical power); Admission control; Quality of service; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003211712,0.0001612452,0.0001840055,0.00008505062,0.00009332859,0.0001176086,0.0002497216,0.0001452691,0.00001032363],"category_scores_gemma":[0.00001721363,0.0001510564,0.00003207258,0.0004397222,0.00002909583,0.0003626441,0.00008490912,0.0001685317,0.000006597034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031365,"about_ca_system_score_gemma":0.00002535825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189141,"about_ca_topic_score_gemma":0.0005076471,"domain_scores_codex":[0.9986628,0.0001027146,0.0002993424,0.0004503222,0.0001579372,0.000326836],"domain_scores_gemma":[0.9993008,0.000103301,0.00009955216,0.0003440067,0.00005948748,0.00009281126],"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":[0.0001771494,0.0006275645,0.003428785,0.00004925215,0.00004249887,0.00009236454,0.000183778,0.7841554,0.008635586,0.04992071,0.006099568,0.1465874],"study_design_scores_gemma":[0.001114419,0.00007227812,0.009564544,0.00002825263,0.000004976862,0.000009021324,0.00001088936,0.986363,0.0001304797,0.001843959,0.0006811115,0.000177103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03637121,0.001343954,0.9603828,0.0008768239,0.0002720178,0.0003899827,0.000001779801,0.0001865957,0.0001748079],"genre_scores_gemma":[0.9981194,0.00009369905,0.001238817,0.0001596106,0.00006517949,0.00004742856,0.00007661538,0.00001025374,0.0001890639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9617481,"threshold_uncertainty_score":0.6159902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004494812778429801,"score_gpt":0.1999298558160615,"score_spread":0.1954350430376317,"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."}}