{"id":"W1579179571","doi":"10.1109/pimrc.2005.1651737","title":"On Designing a Burst-Sensitive RED Queue at GPRS Links in a Heterogeneous Mobile Environment","year":2006,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"General Packet Radio Service; Active queue management; Computer science; Computer network; Queueing theory; Queue; Context (archaeology); GPRS core network; Queue management system; Priority queue; Real-time computing; Wireless; Network packet; Telecommunications; Network congestion","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":[0.002755826,0.0007390593,0.0006689503,0.0005071062,0.0005998877,0.001464702,0.001952726,0.0008251384,0.0007012325],"category_scores_gemma":[0.004048629,0.0003995975,0.0003142108,0.0004600677,0.0006077436,0.001323103,0.0008219022,0.0009330839,0.0002316594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195119,"about_ca_system_score_gemma":0.001221247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320104,"about_ca_topic_score_gemma":0.003368046,"domain_scores_codex":[0.9990332,0.000289887,0.00006580335,0.000169721,0.0003062337,0.000135176],"domain_scores_gemma":[0.9979401,0.0007969845,0.0003510792,0.0001641416,0.0005929519,0.0001547206],"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":[0.001047876,0.0006204611,0.007497767,0.0005674582,0.0001912486,0.000639725,0.0007033613,0.5839193,0.1529588,0.07951143,0.002813461,0.1695291],"study_design_scores_gemma":[0.00006016169,0.0002684183,0.000306988,0.00001387658,0.00005089696,0.0001036902,0.0000358807,0.9837275,0.01106056,0.002797665,0.001552145,0.00002230039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04091887,0.0003884405,0.9568871,0.0001806387,0.00005970379,0.0001347531,0.00001784548,0.0003072112,0.001105567],"genre_scores_gemma":[0.6901392,0.00045561,0.3071635,0.0003040054,0.0001229257,0.00008983247,0.00002578399,0.00006219542,0.001636942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002755826,"threshold_uncertainty_score":0.01457435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005868842225005952,"score_gpt":0.1872362512623779,"score_spread":0.1813674090373719,"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."}}