{"id":"W2915561364","doi":"10.1109/access.2019.2900290","title":"An Experimental Study on Multipath TCP Congestion Control With Heterogeneous Radio Access Technologies","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"United Arab Emirates University","keywords":"Multipath TCP; Computer science; Computer network; Multipath propagation; Testbed; Throughput; Network congestion; Wireless; Node (physics); Wireless network; Transmission Control Protocol; Radio resource management; Data transmission; Transmission (telecommunications); Channel (broadcasting); Network packet; Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833378,0.0007018119,0.0006179806,0.0006588117,0.000578049,0.0005833535,0.0009699201,0.0004920444,0.0007661351],"category_scores_gemma":[0.005119516,0.000194049,0.0002774087,0.0005758856,0.0009950593,0.00100085,0.0005483156,0.0008298083,0.0000685922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006482602,"about_ca_system_score_gemma":0.0005483679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020106,"about_ca_topic_score_gemma":0.0009635905,"domain_scores_codex":[0.9981709,0.0006409892,0.0001268151,0.0002851556,0.000394617,0.0003815835],"domain_scores_gemma":[0.9939667,0.003555309,0.0006480326,0.0007338422,0.0007928977,0.000303152],"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":[0.008902886,0.01688541,0.02567134,0.0009540864,0.0003915675,0.001489261,0.001030691,0.4968993,0.3519401,0.008052574,0.002292713,0.08549008],"study_design_scores_gemma":[0.0004315307,0.01330413,0.01030162,0.00003636669,0.0001557532,0.0003072977,0.000461245,0.8540142,0.1185324,0.001508327,0.0008765284,0.00007058585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914655,0.0001014092,0.007427921,0.00004159734,0.00004276522,0.00007212136,0.00006027608,0.0001192458,0.0006691903],"genre_scores_gemma":[0.9971672,0.00004129484,0.002527157,0.000009694538,0.000009927874,0.00003996266,0.00004080331,0.000007123383,0.0001567597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0020106,"threshold_uncertainty_score":0.009695947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157187753160105,"score_gpt":0.3345742693802133,"score_spread":0.3030023918486123,"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."}}