{"id":"W4416706962","doi":"10.1109/tmc.2025.3637283","title":"PEP-Policer: Eliminating the On-Off Traffic Pattern in PEP Over Satellite Networks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Goodput; Geostationary orbit; Limiting; Satellite; Network congestion; Communications satellite","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001550465,0.0009029012,0.0008342292,0.0006689025,0.001699921,0.0008638814,0.001853385,0.0004405629,0.0001021075],"category_scores_gemma":[0.00001446489,0.0008274827,0.000579997,0.002822036,0.000289778,0.0003253332,0.00003199512,0.002718339,0.0001138246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431574,"about_ca_system_score_gemma":0.0003271732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008385276,"about_ca_topic_score_gemma":0.0003465805,"domain_scores_codex":[0.9934567,0.001021791,0.001569876,0.001659547,0.0007178741,0.001574184],"domain_scores_gemma":[0.9944015,0.003272898,0.0004340379,0.001486649,0.0001715551,0.0002333364],"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":[0.0000405734,0.000329718,0.00003850772,0.00002554342,0.00007200086,0.00001665556,0.001123414,0.4980296,0.000002511734,0.0001951698,0.00008252345,0.5000437],"study_design_scores_gemma":[0.00192291,0.0004155222,0.001144548,0.001398683,0.0001144625,0.00001668108,0.0003922711,0.991024,0.00005482437,0.00002326161,0.002809203,0.0006836355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.105298,0.002756701,0.8805405,0.001840689,0.006737852,0.001559311,0.000009055268,0.0003689401,0.0008888792],"genre_scores_gemma":[0.9936976,0.001066427,0.0002679937,0.003393456,0.0006221809,0.000179289,0.000002381776,0.00006404205,0.0007066563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8883995,"threshold_uncertainty_score":0.9995998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008342108884710606,"score_gpt":0.2510811658120837,"score_spread":0.2427390569273731,"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."}}