{"id":"W2157128293","doi":"10.1109/icc.2005.1495060","title":"Modeling SCTP throughput in integrated WLAN/cellular networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stream Control Transmission Protocol; Computer network; Computer science; Handover; Throughput; Network congestion; Wireless network; Wireless; Cellular network; Heterogeneous network; Distributed computing; Network packet; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007079658,0.0007622376,0.0005856454,0.0009044295,0.0005660888,0.001101172,0.001207476,0.001110254,0.0008147497],"category_scores_gemma":[0.004106856,0.0004119166,0.0004241914,0.001327419,0.0008307929,0.001531432,0.0005770026,0.000784525,0.0002724568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003205547,"about_ca_system_score_gemma":0.001324402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02811813,"about_ca_topic_score_gemma":0.007745874,"domain_scores_codex":[0.9994078,0.0001388148,0.00001866738,0.0000919997,0.000196398,0.0001463318],"domain_scores_gemma":[0.9984924,0.0007950662,0.000160582,0.00009857212,0.000394261,0.000059243],"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":[0.00003522749,0.00003176754,0.0007865683,0.0000128333,0.000009716514,0.00007335294,0.00004715493,0.992085,0.001369268,0.003414586,0.0001634959,0.001970998],"study_design_scores_gemma":[0.000001711488,0.000006536299,0.00008317028,0.000001261987,0.000002892203,0.000005921684,0.000005356821,0.9991683,0.0001747968,0.0005041065,0.00004430332,0.0000017167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7125148,0.0009733062,0.2685978,0.0006323759,0.00007104316,0.0001143567,0.0003299614,0.0009238282,0.01584252],"genre_scores_gemma":[0.9930534,0.000270415,0.005121076,0.00002663202,0.00001985769,0.00004201637,0.00005897397,0.00003165524,0.001375972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02811813,"threshold_uncertainty_score":0.05590892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149772588621422,"score_gpt":0.2120029185055211,"score_spread":0.2005051926193068,"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."}}