{"id":"W2111945451","doi":"10.1155/2010/234131","title":"ESVD: An Integrated Energy Scalable Framework for Low-Power Video Decoding Systems","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Iran Telecommunication Research Center; National IT Industry Promotion Agency; Ministry of Knowledge Economy; National Natural Science Foundation of China","keywords":"Computer science; Decoding methods; Scalability; Video decoder; MPEG-4; Process (computing); Real-time computing; Power control; Resource allocation; Distributed computing; Power (physics); Computer network; Telecommunications; Coding (social sciences); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004174443,0.0006460937,0.0005030147,0.0003173763,0.0002592294,0.0008410608,0.001193807,0.0004445456,0.002690703],"category_scores_gemma":[0.0006204983,0.000228288,0.0003658222,0.000262486,0.0003533156,0.0009440406,0.0008266266,0.0006925515,0.0005660281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186777,"about_ca_system_score_gemma":0.0005184675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213385,"about_ca_topic_score_gemma":0.00190154,"domain_scores_codex":[0.999755,0.0000472722,0.00001383206,0.00003203748,0.0001256895,0.00002612372],"domain_scores_gemma":[0.999877,0.00004210054,0.00001138183,0.00002037162,0.00003795082,0.00001125822],"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":[0.0002095628,0.0001135793,0.0004807904,0.0002016167,0.0000629404,0.0002684894,0.0001247008,0.559572,0.04600254,0.1142652,0.00476593,0.2739326],"study_design_scores_gemma":[0.00001487796,0.00004763909,0.00005625288,0.000008129261,0.000009352983,0.0000533329,0.0000101005,0.9786326,0.006306378,0.01014546,0.00470668,0.000009182339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002934685,0.0001610671,0.9944212,0.00003949947,0.00001714096,0.0000277359,0.0000248229,0.0006838777,0.00169003],"genre_scores_gemma":[0.4410678,0.0008272977,0.5491472,0.0001055573,0.00007230005,0.0002423283,0.0002207793,0.000294012,0.008022678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002690703,"threshold_uncertainty_score":0.009001315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394086813081938,"score_gpt":0.2919802273566469,"score_spread":0.2580393592258275,"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."}}