{"id":"W2555043760","doi":"10.1016/j.adhoc.2016.11.005","title":"A smart fairness mechanism for Concurrent multipath transfer in SCTP over wireless multi-hop networks","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Computer science; Multipath propagation; Hop (telecommunications); Stream Control Transmission Protocol; Wireless; Mechanism (biology); Telecommunications; Channel (broadcasting); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006087078,0.0004703788,0.0005768863,0.0001234534,0.0001879399,0.0001502576,0.001071266,0.000365432,0.00002823065],"category_scores_gemma":[0.00002544147,0.0003614388,0.0002641821,0.0004692547,0.0001046679,0.0005357455,0.0001448464,0.0003581044,0.00001813503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256178,"about_ca_system_score_gemma":0.00008231356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092454,"about_ca_topic_score_gemma":0.0006243808,"domain_scores_codex":[0.9966946,0.0001927291,0.0006514777,0.001007762,0.0003104601,0.001142926],"domain_scores_gemma":[0.9980183,0.0006882207,0.0001136296,0.0007024542,0.0001856378,0.000291753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001002946,0.0001921469,0.0004503642,0.000012263,0.00005247546,0.00002406835,0.0001897529,0.01014537,0.00005856948,0.09164561,0.0007698482,0.8963593],"study_design_scores_gemma":[0.006861231,0.0001635784,0.0008202158,0.0002658707,0.00002601743,0.000007180313,0.00001536166,0.9864665,0.00003595333,0.0005051058,0.004252713,0.0005802787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01485796,0.001917518,0.977867,0.0007794956,0.003059709,0.001134929,0.00001044283,0.0003425544,0.00003036342],"genre_scores_gemma":[0.99381,0.0009599844,0.00274683,0.0009276267,0.000468012,0.0005997831,0.000009771021,0.00005438339,0.0004236191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9789521,"threshold_uncertainty_score":0.9998838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565413713417355,"score_gpt":0.2382595709176314,"score_spread":0.2226054337834579,"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."}}