{"id":"W1834940743","doi":"10.1109/wirles.2005.1549526","title":"QoS satisfaction based charging and resource management policy for next generation wireless networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Quality of service; Computer science; Computer network; Resource allocation; Mobile QoS; Bandwidth (computing); Wireless network; Resource management (computing); Wireless; Call Admission Control; Service (business); Service provider; Telecommunications; Business; Marketing","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":[0.0004960861,0.0001163986,0.0001059634,0.0002157298,0.0003489357,0.0004270267,0.0005091512,0.00006149054,0.00001101565],"category_scores_gemma":[0.000009657469,0.0001153322,0.00003445799,0.000413271,0.00003247934,0.0005705003,0.0002880181,0.0001228307,0.000007090183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346376,"about_ca_system_score_gemma":0.0000324258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005572191,"about_ca_topic_score_gemma":0.0001234554,"domain_scores_codex":[0.9987763,0.0001177139,0.0002116138,0.0003345721,0.0002337741,0.0003260376],"domain_scores_gemma":[0.9988973,0.0001514666,0.00006663395,0.0007155526,0.00006843012,0.0001005838],"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":[0.000006686468,0.00001922042,0.0001527887,0.00001220505,0.00001111479,3.122059e-7,0.00006937503,0.06809945,0.0003219367,0.1156007,0.004777422,0.8109288],"study_design_scores_gemma":[0.0004246195,0.00002092005,0.001475399,0.00001394253,0.000002453597,0.000001650754,0.00001822238,0.972859,0.0003278099,0.00005768885,0.02467446,0.0001238571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006527756,0.0001656535,0.9785353,0.01216962,0.0000549194,0.0005193932,4.601649e-7,0.0001653482,0.001861537],"genre_scores_gemma":[0.8781312,0.0001971994,0.1188967,0.001318028,0.0006713005,0.0001606945,0.00001390858,0.00001424136,0.0005967795],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9047595,"threshold_uncertainty_score":0.470311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05221420731581371,"score_gpt":0.3002877384652822,"score_spread":0.2480735311494685,"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."}}