{"id":"W4403094413","doi":"10.1109/lnet.2024.3472034","title":"An eBPF-Based Trace-Driven Emulation Method for Satellite Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Networking Letters","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Emulation; TRACE (psycholinguistics); Satellite; Computer science; Remote sensing; Geology; Engineering; Aerospace engineering; Psychology","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"],"consensus_categories":[],"category_scores_codex":[0.0008874846,0.0002504473,0.0002545507,0.0001330661,0.0002119625,0.0009235725,0.0007602125,0.0001250869,0.000001343922],"category_scores_gemma":[0.000004380912,0.000246578,0.000193818,0.0005957332,0.00002406978,0.0003259138,0.00002440211,0.0002329767,0.00001267875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000810159,"about_ca_system_score_gemma":0.00004677933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001780089,"about_ca_topic_score_gemma":0.000006549688,"domain_scores_codex":[0.9978168,0.0002734091,0.0003767649,0.0007101976,0.0002504551,0.0005723546],"domain_scores_gemma":[0.9985111,0.0006605392,0.0001069152,0.0005540259,0.00004390358,0.0001235469],"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":[0.000008656014,0.00001247895,0.0002429005,0.00004095899,0.00003256887,0.00002098071,0.0002129508,0.8584672,0.0009339636,0.0009260849,0.006115868,0.1329853],"study_design_scores_gemma":[0.000200397,0.00005937523,0.0002145889,0.0002024971,0.0000194486,0.000009634196,0.000001731434,0.9035792,0.00008064569,0.0001558643,0.09520015,0.0002764843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003041027,0.0007850491,0.9856104,0.001698241,0.007459299,0.0003741352,0.000004309653,0.0009555838,0.00007196559],"genre_scores_gemma":[0.8735036,0.000005462872,0.1209844,0.001813985,0.00355312,0.00003818489,0.00004320424,0.00003683194,0.00002130733],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8704625,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344137579118991,"score_gpt":0.3000713561349446,"score_spread":0.2766299803437547,"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."}}