{"id":"W2058225249","doi":"10.1016/j.bjp.2013.11.005","title":"On the performance and fairness of BitTorrent-like data swarming systems with NAT devices","year":2013,"lang":"en","type":"article","venue":"Computer Networks","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"BitTorrent; Computer science; Nat; Swarming (honey bee); Computer network; Peer-to-peer","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":[0.0003881679,0.0002447316,0.0002864781,0.0001116794,0.0001778532,0.0004187844,0.003614584,0.00009309808,0.000001721645],"category_scores_gemma":[0.000008347608,0.0001494418,0.00001894134,0.0006337538,0.0001348149,0.0006781235,0.002627164,0.0002885732,0.00001881518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002177729,"about_ca_system_score_gemma":0.00002439086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005658658,"about_ca_topic_score_gemma":0.0000122994,"domain_scores_codex":[0.9982548,0.00007128938,0.0002797709,0.0006235023,0.0003441998,0.0004264066],"domain_scores_gemma":[0.9971488,0.0004248286,0.0001723826,0.002041312,0.0001272598,0.00008540838],"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":[0.00001988444,0.0001042488,0.01881476,0.0001761948,0.000169694,0.00001806583,0.0005900975,0.3443923,0.000009270228,0.01945439,0.1271815,0.4890696],"study_design_scores_gemma":[0.000135686,0.000183978,0.007082963,0.0003828883,0.000006858932,0.00002812422,0.00002452305,0.9889741,0.00001429567,0.00006596974,0.002889793,0.0002108302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2668599,0.0006142302,0.7299215,0.0007791011,0.0009467149,0.0004884665,0.000001457766,0.0002955942,0.00009306208],"genre_scores_gemma":[0.9806062,0.00003923214,0.01858499,0.0004720322,0.0001922244,0.00004591417,0.000005012165,0.00001561592,0.00003878921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7137462,"threshold_uncertainty_score":0.6716856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061111153448912,"score_gpt":0.2109598131270209,"score_spread":0.1903487015925318,"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."}}