{"id":"W2168620680","doi":"10.1109/tbc.2009.2019430","title":"Reactive Estimation of Packet Loss Probability for IP-Based Video Services","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Packet loss; Computer network; Network packet; Quality of service; Estimator; Processing delay; Real-time computing; Transmission delay","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":[0.001149003,0.0005075159,0.0003779435,0.000585699,0.0002447921,0.0005550285,0.0008239606,0.0003879605,0.0002501436],"category_scores_gemma":[0.004134518,0.0002500885,0.0002684933,0.0003143214,0.0004796354,0.0007415215,0.0004377171,0.0006060263,0.00006150667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006817381,"about_ca_system_score_gemma":0.0004396218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458062,"about_ca_topic_score_gemma":0.00173571,"domain_scores_codex":[0.9993232,0.0001802852,0.00002842041,0.0001367812,0.0002880671,0.00004316812],"domain_scores_gemma":[0.9982992,0.001021047,0.000314695,0.00009668954,0.0002320997,0.00003633636],"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":[0.0001914855,0.00008366026,0.003896018,0.00009952559,0.00003792944,0.000102165,0.00009435348,0.9173959,0.02575899,0.003729406,0.000270291,0.04834009],"study_design_scores_gemma":[0.000001739079,0.000027126,0.0003981494,0.000001507786,0.000003848852,0.00001397173,0.00000397999,0.9969621,0.002266859,0.000264439,0.00005083904,0.000005336207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07721262,0.000186495,0.9216952,0.0000719177,0.00001970045,0.00002865961,0.00002117104,0.0003013203,0.0004628979],"genre_scores_gemma":[0.972482,0.0001196287,0.0270507,0.00001965233,0.000008426838,0.00002356856,0.00003520181,0.00001459419,0.0002461941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003458062,"threshold_uncertainty_score":0.006875873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571912923255952,"score_gpt":0.2477638594392828,"score_spread":0.2320447302067233,"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."}}