{"id":"W2142834307","doi":"10.1109/infcom.2004.1354620","title":"A new QoS provisioning method for adaptive multimedia in cellular wireless networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Computer network; Provisioning; Multimedia; Wireless; Mobile QoS; Wireless network; IP Multimedia Subsystem; Telecommunications; Service (business); Service provider","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":[0.0005452208,0.0004511319,0.0004297716,0.0004082752,0.0006059241,0.0006241609,0.0008899503,0.0006414286,0.001427138],"category_scores_gemma":[0.001580442,0.0001811932,0.0002873018,0.0003908072,0.0004863386,0.0009830423,0.0006760544,0.001040488,0.0003524581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544419,"about_ca_system_score_gemma":0.0005694779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009668515,"about_ca_topic_score_gemma":0.001050973,"domain_scores_codex":[0.9995882,0.0001014437,0.0000242635,0.00007462987,0.0001787669,0.0000326769],"domain_scores_gemma":[0.9995945,0.0001452123,0.00004239707,0.00005677555,0.0001235765,0.00003748446],"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":[0.0001572414,0.0002150529,0.0007122011,0.0002240083,0.00005174491,0.0002736758,0.000305453,0.1792345,0.05530656,0.1100667,0.006974802,0.6464779],"study_design_scores_gemma":[0.00002103052,0.00005504827,0.00011058,0.00001019268,0.00001385795,0.0002157804,0.00001427071,0.9786808,0.005855204,0.007286509,0.007717763,0.00001888904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00533373,0.0002233386,0.9920142,0.0001439402,0.000105406,0.00005353801,0.00001410195,0.0003630128,0.001748829],"genre_scores_gemma":[0.3824955,0.0005421162,0.6107671,0.0002506828,0.0002408485,0.0002058737,0.00007033747,0.00008299224,0.005344696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001427138,"threshold_uncertainty_score":0.004774272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182973976905035,"score_gpt":0.3180040227420852,"score_spread":0.2861742829730348,"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."}}