{"id":"W2117798381","doi":"10.1109/icme.2011.6012088","title":"A new Scalable Multi-View Video Coding configuration for mobile applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Scalability; Scalable Video Coding; Coding (social sciences); Linear network coding; Base station; Computer network; Bandwidth (computing); Mobile telephony; Mobile device; Real-time computing; Mobile radio; Network packet; Database","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":[0.0001209195,0.00009538067,0.0001177303,0.00007635339,0.0001820555,0.00009488145,0.0007606114,0.00006461029,0.00007470675],"category_scores_gemma":[0.00002625718,0.00007874939,0.00005212868,0.0002451155,0.00002009149,0.0003222073,0.0001405606,0.0000591661,0.0001054069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001610777,"about_ca_system_score_gemma":0.00005218222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005733476,"about_ca_topic_score_gemma":0.000007441108,"domain_scores_codex":[0.9992227,0.00001161686,0.0001862463,0.000306407,0.00008663588,0.0001863914],"domain_scores_gemma":[0.9991852,0.00006181076,0.00007109524,0.0005346642,0.00008444084,0.00006278131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002646495,0.00005775175,0.00004687696,0.00002045114,0.000007904741,2.676913e-7,0.0002406736,0.00001162116,0.003626946,0.3766291,0.009257042,0.6100987],"study_design_scores_gemma":[0.001305597,0.0003123181,0.0003411483,0.000103248,0.00002057113,0.00001228196,0.0003343346,0.1304363,0.5157317,0.06902737,0.2817468,0.0006283309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006592093,0.0002386663,0.993185,0.0002160329,0.00008935723,0.0006586568,9.435988e-7,0.001019507,0.004525862],"genre_scores_gemma":[0.2384346,0.00005663728,0.7552068,0.0001935364,0.00002596344,0.001159868,0.000002011627,0.000007538851,0.004913099],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6094704,"threshold_uncertainty_score":0.3211307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07001435203457025,"score_gpt":0.2896527032774345,"score_spread":0.2196383512428642,"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."}}