{"id":"W1541797253","doi":"10.1109/iccs.2002.1182527","title":"Development in QoS control for video communication","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quality of service; Computer science; Scalability; Key (lock); Mobile QoS; Quality assurance; Strengths and weaknesses; Quality (philosophy); Control (management); Service (business); Multimedia; Computer network; Service provider; Artificial intelligence; Computer security; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003266797,0.001027961,0.0005059492,0.001418494,0.0006101382,0.002072579,0.002082587,0.002528374,0.002047029],"category_scores_gemma":[0.005990441,0.0005971879,0.0006406475,0.001299605,0.001767028,0.003359132,0.001195062,0.004085184,0.001067585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983673,"about_ca_system_score_gemma":0.00161571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239797,"about_ca_topic_score_gemma":0.0008241812,"domain_scores_codex":[0.9983884,0.000260702,0.0001231745,0.0003399264,0.0007829137,0.0001049612],"domain_scores_gemma":[0.9966351,0.001217301,0.0001388034,0.000229479,0.001658538,0.0001207523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006010336,0.00008893925,0.0003887163,0.0007064568,0.0000336668,0.0001654312,0.0003900632,0.01271797,0.01083325,0.4959146,0.006041038,0.4726598],"study_design_scores_gemma":[0.00006363625,0.000561818,0.0008707547,0.001148156,0.00009409546,0.000813894,0.0002869327,0.1243004,0.03301922,0.1968015,0.6419068,0.0001328011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006011989,0.06818946,0.8715867,0.006079069,0.003103638,0.0002028891,0.0000605575,0.0005580375,0.04420768],"genre_scores_gemma":[0.2016518,0.1377831,0.6116367,0.004707412,0.005517604,0.0005649769,0.0002833546,0.0003574734,0.03749759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003266797,"threshold_uncertainty_score":0.0172767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434141700380213,"score_gpt":0.2295570267627581,"score_spread":0.215215609758956,"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."}}