{"id":"W2125922959","doi":"10.1109/glocom.1996.591894","title":"Multi-program video coding with joint rate control","year":2002,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Coding (social sciences); Joint (building); Coding tree unit; Harmonic Vector Excitation Coding; Quantization (signal processing); Context-adaptive binary arithmetic coding; Bit rate; Real-time computing; Decoding methods; Theoretical computer science; Algorithm; Data compression; Mathematics; Statistics; Engineering","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":[0.0001579047,0.0001464236,0.0001814788,0.0001039757,0.0001687801,0.0002550741,0.0007398385,0.00005931599,0.00006304432],"category_scores_gemma":[0.000052411,0.00009487543,0.00004907016,0.0003102864,0.00006505584,0.0002885852,0.0001843396,0.0001601564,0.0001536614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001993023,"about_ca_system_score_gemma":0.000007498345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001373745,"about_ca_topic_score_gemma":0.000004979846,"domain_scores_codex":[0.9989315,0.00004482362,0.0001730716,0.0003698849,0.0001648327,0.0003159178],"domain_scores_gemma":[0.9990993,0.00006341485,0.00007207915,0.0006317989,0.00006339558,0.00006998536],"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":[0.0000116779,0.0004777399,0.000976364,0.0000221122,0.00006694607,0.0001148499,0.0003282659,0.0004107484,0.01403337,0.0431996,0.01622006,0.9241382],"study_design_scores_gemma":[0.001576643,0.0003390851,0.001145091,0.00006333792,0.000006665658,0.00002984002,0.00006688221,0.9703956,0.0191988,0.0005037915,0.00636558,0.0003086803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004209864,0.0001672435,0.9843835,0.003556136,0.0001251572,0.0002308339,4.3129e-7,0.003570039,0.003756845],"genre_scores_gemma":[0.8340721,0.00002704646,0.1639731,0.000481531,0.00001208599,0.00006001582,1.076547e-7,0.000006444707,0.001367603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9699848,"threshold_uncertainty_score":0.3868908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954729481647912,"score_gpt":0.2465453591321254,"score_spread":0.1969980643156462,"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."}}