{"id":"W4352977279","doi":"10.1109/tnse.2023.3257034","title":"Multipath Congestion Control: Measurement, Analysis, and Optimization From the Energy Perspective","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multipath TCP; Computer science; Network congestion; Energy consumption; Multipath propagation; Efficient energy use; Computer network; Throughput; Energy (signal processing); Distributed computing; Exploit; The Internet; Wireless; Engineering; Channel (broadcasting); Telecommunications; Network packet","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":[0.0007875447,0.000131793,0.0001441794,0.0001936794,0.0005266738,0.0002508508,0.0002764437,0.00004163288,0.000002457779],"category_scores_gemma":[0.00002257279,0.0001053753,0.00004287224,0.002697534,0.0001127059,0.0003941578,0.000004708903,0.000126983,0.0000018882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007234782,"about_ca_system_score_gemma":0.00006753341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207018,"about_ca_topic_score_gemma":0.00009367237,"domain_scores_codex":[0.9986781,0.00003791849,0.0001368365,0.0004071308,0.0004402569,0.000299696],"domain_scores_gemma":[0.9991517,0.0002404471,0.00003792817,0.0002430071,0.0002174102,0.0001094731],"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":[0.000005809432,0.000006347561,0.00002780033,5.542882e-7,0.00007425647,0.00000120306,0.0001565937,0.9675761,0.0001754955,0.002348562,0.00003902509,0.02958829],"study_design_scores_gemma":[0.0003012213,0.00002737267,0.002060607,0.00001680951,0.00009313075,0.000001580279,0.00004850687,0.9970914,0.00005719715,0.00005672544,0.0001243605,0.0001210558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002291598,0.0003164155,0.9956461,0.0008808024,0.000474918,0.00009556641,0.00000361705,0.000269374,0.00002161225],"genre_scores_gemma":[0.9960375,0.0003667291,0.003218256,0.0002212504,0.0001022536,0.00003566432,6.2819e-7,0.00000617198,0.00001148113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.993746,"threshold_uncertainty_score":0.4297082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097628374387617,"score_gpt":0.1971581790817985,"score_spread":0.1861818953379223,"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."}}