{"id":"W2087916991","doi":"10.1049/iet-com.2013.0480","title":"Goodput improvement for multipath transport control protocol in cooperative relay‐based wireless networks","year":2014,"lang":"en","type":"article","venue":"IET Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Goodput; Computer network; Computer science; Relay; Wireless; Multipath propagation; Protocol (science); Wireless network; Telecommunications; Throughput; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001135443,0.0002272853,0.0003164858,0.0001234808,0.0005728477,0.0001094784,0.00316739,0.0001014298,0.000009154238],"category_scores_gemma":[0.00008563097,0.0002211158,0.0001116634,0.000585499,0.0001435209,0.0003134996,0.000292243,0.0004147479,0.000007312846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149362,"about_ca_system_score_gemma":0.0001538193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002603946,"about_ca_topic_score_gemma":0.001031536,"domain_scores_codex":[0.9979768,0.0005384823,0.0006081597,0.0003791143,0.000138888,0.0003585398],"domain_scores_gemma":[0.9950605,0.0009690666,0.0002008111,0.003288713,0.0003710847,0.0001098154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002348221,0.002754848,0.007436493,0.00008611078,0.0001202868,0.000001243531,0.003050023,0.1453205,0.003841643,0.5115511,0.001699398,0.3239035],"study_design_scores_gemma":[0.003573861,0.0002174695,0.002042353,0.00008292914,0.000007460465,5.066308e-7,0.00002176134,0.9477685,0.000227921,0.0001412447,0.04565945,0.0002565137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000498449,0.00005609874,0.9613138,0.00498656,0.00006502634,0.03148838,0.000009881286,0.0001724363,0.00140933],"genre_scores_gemma":[0.8495948,0.00004693622,0.03117424,0.001297263,0.00003056473,0.1177171,0.0000439499,0.00001982114,0.00007533285],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9301396,"threshold_uncertainty_score":0.9016839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570589086673769,"score_gpt":0.3142749174386619,"score_spread":0.2785690265719242,"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."}}