{"id":"W1637324151","doi":"10.1109/ccece.2001.933756","title":"JQOS: a QoS-based Internet videoconferencing system using the Java media framework (JMF)","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Quality of service; Mobile QoS; Computer network; Multicast; The Internet; Scalability; Java; Distributed computing; Videoconferencing; Session (web analytics); Service (business); Multimedia; Service provider; Operating system; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0003622514,0.0001948455,0.0002174127,0.0000724544,0.0001624545,0.0003777621,0.001121765,0.0001134503,0.0002729021],"category_scores_gemma":[0.00007469623,0.0001280979,0.0001008942,0.0003841831,0.00005848114,0.0002175122,0.0001266828,0.0002918672,0.0002091777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008554466,"about_ca_system_score_gemma":0.00005270738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006357857,"about_ca_topic_score_gemma":0.00003300725,"domain_scores_codex":[0.9983866,0.000170919,0.0003217057,0.0003932784,0.0003507513,0.0003767968],"domain_scores_gemma":[0.9982185,0.0007357151,0.0001170036,0.0007058625,0.00009938177,0.0001235597],"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":[0.00001109495,0.00007462635,0.0005221877,0.00003655501,0.00007384044,0.0000623798,0.002602361,0.01030008,0.00004990186,0.6724973,0.01064779,0.3031218],"study_design_scores_gemma":[0.0002628771,0.00002329331,0.00003839051,0.0001807988,0.00001603579,0.00002094353,0.0001851022,0.9959096,0.00008230895,0.00021034,0.002894665,0.000175605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004938691,0.0003968802,0.9865304,0.001946205,0.001386861,0.0002132549,8.086254e-7,0.0005307008,0.004056251],"genre_scores_gemma":[0.9693006,0.000003461359,0.02832513,0.001602722,0.0004848425,0.00002183174,5.135398e-7,0.00001149034,0.0002493973],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9856095,"threshold_uncertainty_score":0.5223682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027467780766853,"score_gpt":0.2248653241119188,"score_spread":0.1845906463042502,"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."}}