{"id":"W2136823104","doi":"10.1109/glocom.2010.5683763","title":"Video Streaming with PCA and Hard vs Soft DRP","year":2010,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Wireless; Quality of service; Reservation; Protocol (science); Real-time computing; Telecommunications","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":[0.0001219498,0.00008163841,0.00008863413,0.00002249332,0.0000905478,0.0002412573,0.0002846153,0.00004194875,0.00004183776],"category_scores_gemma":[0.000005283417,0.00005465087,0.00001250374,0.0001028114,0.00003698292,0.0003019352,0.0001228204,0.0001405389,0.00001437149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002420719,"about_ca_system_score_gemma":0.00002784441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004616654,"about_ca_topic_score_gemma":0.000170101,"domain_scores_codex":[0.9993913,0.00001093266,0.00007595446,0.0002327753,0.0001130794,0.0001759725],"domain_scores_gemma":[0.9994842,0.00006141495,0.00002748313,0.0003126545,0.00002877572,0.0000854054],"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":[0.00003977719,0.00006916299,0.05109964,0.00004034324,0.00002718833,0.00004178274,0.0006742421,0.0001206643,0.003149417,0.1701347,0.008455883,0.7661472],"study_design_scores_gemma":[0.003136996,0.001384515,0.181186,0.0002333296,0.00001875609,0.0002639846,0.0000696487,0.4172063,0.01454933,0.01296249,0.3673979,0.001590822],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1302333,0.00001992463,0.8522246,0.002076786,0.000219399,0.002416422,7.183249e-7,0.0003254089,0.01248342],"genre_scores_gemma":[0.8783914,0.000001924346,0.1191813,0.0005597416,0.0001463934,0.000386694,3.979789e-7,0.000008202419,0.00132393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7645564,"threshold_uncertainty_score":0.232645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914059214034597,"score_gpt":0.2258027735732554,"score_spread":0.2166621814329094,"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."}}