{"id":"W4386736466","doi":"10.1109/tdsc.2023.3315457","title":"SwiftParade: Anti-Burst Multipath Validation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Network packet; Multipath propagation; Overhead (engineering); Computer network; Encryption; Network topology; Reliability (semiconductor); Distributed computing; Algorithm; Channel (broadcasting)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003217254,0.0001669106,0.0001673059,0.0002288683,0.0006874609,0.0003165801,0.0002502107,0.00009413834,0.000005501616],"category_scores_gemma":[0.000005341388,0.0001659291,0.00005215519,0.001015961,0.00002658032,0.0004535305,0.000006791517,0.0002332249,0.00005987554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002236319,"about_ca_system_score_gemma":0.00003983998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001370878,"about_ca_topic_score_gemma":0.000004995808,"domain_scores_codex":[0.9986984,0.00006711731,0.0002262538,0.0004443888,0.0002296867,0.0003342198],"domain_scores_gemma":[0.9993536,0.0001495505,0.00008221994,0.0002526739,0.0000676936,0.00009421804],"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":[0.000006504706,0.00006774451,0.000121067,0.00004603697,0.00002441879,0.00002541777,0.001254275,0.8600016,0.0004085262,0.0005371729,0.0002881066,0.1372192],"study_design_scores_gemma":[0.0003450763,0.00004945083,0.0001754496,0.00007637567,0.00001157532,0.00003032382,0.00005521657,0.9912039,0.007192327,0.0002833282,0.0003700561,0.0002069117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1014055,0.00005944806,0.8965687,0.0003056732,0.00069169,0.0001073724,0.000002848676,0.0006647554,0.0001939896],"genre_scores_gemma":[0.9858488,0.00009562445,0.01364755,0.000100538,0.00007607239,0.000004777035,0.000007343194,0.00001692463,0.0002023554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8844433,"threshold_uncertainty_score":0.6766394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884890203646273,"score_gpt":0.2532331007049002,"score_spread":0.2343841986684375,"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."}}