{"id":"W2357864767","doi":"","title":"The Newest Development of H.264/AVC-based Scalable Video Coding","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scalable Video Coding; Coding (social sciences); Scalability; Context-adaptive variable-length coding; Context-adaptive binary arithmetic coding; Real-time computing; Data compression; Computer vision; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007748189,0.0003877501,0.0003659239,0.001005134,0.0002786891,0.0004941443,0.0006758248,0.0004221681,0.003321002],"category_scores_gemma":[0.001234288,0.0001626999,0.000351057,0.0008204788,0.0003272013,0.0008913654,0.0006160106,0.001202382,0.001822039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320779,"about_ca_system_score_gemma":0.001465421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004225211,"about_ca_topic_score_gemma":0.004242765,"domain_scores_codex":[0.9993314,0.00005335879,0.00002185399,0.00007390338,0.0004761603,0.00004349456],"domain_scores_gemma":[0.9992654,0.00006914061,0.00003648722,0.00006885247,0.0005136174,0.00004652939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009998267,0.00005995354,0.0006064369,0.0002623828,0.0000354458,0.0001464448,0.00007760223,0.00378515,0.09534945,0.03266829,0.0292869,0.837622],"study_design_scores_gemma":[0.00006164563,0.0004944042,0.003642883,0.0002143493,0.0001189065,0.001800097,0.00006714353,0.1223339,0.1925903,0.01260412,0.6659384,0.0001338884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.014545,0.01731754,0.9119723,0.001325934,0.001253922,0.0003526761,0.0007118399,0.00524278,0.04727799],"genre_scores_gemma":[0.1434731,0.01840023,0.7693599,0.0009127795,0.001077547,0.0002793459,0.003592247,0.0009338566,0.0619709],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004225211,"threshold_uncertainty_score":0.01110983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269132920682523,"score_gpt":0.2366615128773136,"score_spread":0.2139701836704884,"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."}}