{"id":"W2059573488","doi":"10.1155/2008/841590","title":"Providing QoS for Networked Peers in Distributed Haptic Virtual Environments","year":2008,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Haptic technology; Computer science; Quality of service; Jitter; Peer-to-peer; Synchronization (alternating current); Human–computer interaction; Computer network; Multimedia; Simulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164191,0.0004436885,0.0006006449,0.0003188821,0.001122881,0.001465229,0.001040809,0.001024388,0.001395949],"category_scores_gemma":[0.009672883,0.0004444698,0.0001662533,0.0002421149,0.0007945815,0.00251621,0.002156674,0.000646735,0.0003099136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004352756,"about_ca_system_score_gemma":0.0005303232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334229,"about_ca_topic_score_gemma":0.001111042,"domain_scores_codex":[0.9985884,0.0005141498,0.00007409676,0.0001790028,0.0005202729,0.0001240116],"domain_scores_gemma":[0.996179,0.002229624,0.0002254658,0.0005117229,0.000558726,0.0002953653],"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":[0.002475661,0.0006945538,0.01022469,0.000655776,0.0001071487,0.002875092,0.008289399,0.3557858,0.2293279,0.08247244,0.003434956,0.3036566],"study_design_scores_gemma":[0.0003025729,0.0006811938,0.001740467,0.00003871789,0.00006994575,0.0007120722,0.001368178,0.9256734,0.02863768,0.03172362,0.008955191,0.00009685257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5691973,0.0004886221,0.4220624,0.0003521037,0.00009641872,0.0001492091,0.00002687756,0.000986953,0.006640069],"genre_scores_gemma":[0.9640173,0.0001211761,0.0344747,0.00002111445,0.00003213144,0.00004242948,0.00001824577,0.00003470842,0.001238183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002164191,"threshold_uncertainty_score":0.01144546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341078098780254,"score_gpt":0.2433026515705438,"score_spread":0.2298918705827412,"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."}}