{"id":"W2022042586","doi":"10.1016/s1047-3203(03)00018-x","title":"An accurate bit-rate control algorithm for video transcoding","year":2003,"lang":"en","type":"article","venue":"Journal of Visual Communication and Image Representation","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transcoding; Computer science; Bit rate; Algorithm; Bit (key); Real-time computing; Computer network","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":[0.001154887,0.00009563105,0.0001904135,0.0001799045,0.0002451624,0.0003475562,0.0005802979,0.00004517413,0.000003431455],"category_scores_gemma":[0.000325462,0.00008115877,0.00007616647,0.0002110343,0.00006255141,0.001696375,0.00003407647,0.0001717785,9.395818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000209164,"about_ca_system_score_gemma":0.00004375369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004731817,"about_ca_topic_score_gemma":5.282303e-7,"domain_scores_codex":[0.9986668,0.000475426,0.0004328366,0.0001461773,0.0001556813,0.0001230278],"domain_scores_gemma":[0.9982215,0.0004189815,0.0004640466,0.0004249178,0.0004021273,0.0000684518],"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":[0.00006968028,0.0003596653,0.0002632262,0.00002463258,0.0000794289,0.000005755418,0.001148905,0.0002167768,0.2621079,0.01929349,0.0008396468,0.7155909],"study_design_scores_gemma":[0.004302497,0.001109066,0.001662287,0.0001476809,0.00005790476,0.0001715823,0.00191713,0.7106183,0.2502143,0.02600921,0.003456777,0.0003333367],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01842077,0.0006074623,0.9795119,0.00101306,0.0000975296,0.0001552202,0.000001334035,0.00006130257,0.0001314873],"genre_scores_gemma":[0.7964903,0.0005001473,0.2027987,0.0001603377,0.00001767261,0.00001137989,0.000001507695,0.000006022513,0.00001399533],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7780695,"threshold_uncertainty_score":0.3351492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823681838505216,"score_gpt":0.3761620762443301,"score_spread":0.337925257859278,"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."}}