{"id":"W2119346101","doi":"10.1109/glocom.2010.5683124","title":"Mitigating SIP Overload Using a Control-Theoretic Approach","year":2010,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retransmission; Server; Computer science; Computer network; Information overload; Upstream (networking); Downstream (manufacturing); Reliability (semiconductor); Distributed computing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004770565,0.0002654177,0.0003109501,0.00005858199,0.0001051003,0.00009620147,0.0002277106,0.0002223023,0.0003225445],"category_scores_gemma":[0.00008511369,0.0002590024,0.0001181524,0.0001908075,0.0001431101,0.0001985939,0.00005027393,0.0006655543,0.00003187911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006122507,"about_ca_system_score_gemma":0.00002123291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006350452,"about_ca_topic_score_gemma":0.00005591854,"domain_scores_codex":[0.998543,0.00004785584,0.000330411,0.0003057991,0.0002309104,0.0005419947],"domain_scores_gemma":[0.9991159,0.0001544934,0.00004239964,0.0004860077,0.00005264242,0.0001485304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000167734,0.0007037472,0.0220619,0.001778968,0.0006817469,0.00007238025,0.004302288,0.3367025,0.4116403,0.2016789,0.002196513,0.01801299],"study_design_scores_gemma":[0.001019098,0.00001538754,0.0004621163,0.00001784042,0.00005077138,0.0000402305,0.00009113731,0.9918187,0.002633682,0.003038306,0.0004381736,0.0003745413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906463,0.0001946329,0.0657528,0.00001450063,0.001075989,0.0004042864,0.000009593287,0.0006940861,0.0412078],"genre_scores_gemma":[0.9840786,0.000003921818,0.01516439,0.0001087766,0.000497193,0.00002301137,0.000006382613,0.00006291188,0.00005476977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6551162,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006319037991490273,"score_gpt":0.2013108568124154,"score_spread":0.1949918188209251,"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."}}