{"id":"W4387951096","doi":"10.1109/iiswc59245.2023.00021","title":"Do Video Encoding Workloads Stress the Microarchitecture?","year":2023,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Microarchitecture; Computer science; Encoding (memory); Stress (linguistics); Computer architecture; Parallel computing; Artificial intelligence","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":[0.0004916734,0.000531495,0.0003535596,0.0005888139,0.0003537418,0.001101936,0.0005169422,0.0005754259,0.001908825],"category_scores_gemma":[0.006936549,0.000367093,0.0002028003,0.0009158288,0.0003006066,0.001825759,0.0002828664,0.000647124,0.0009606476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290958,"about_ca_system_score_gemma":0.0005954754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762271,"about_ca_topic_score_gemma":0.005436577,"domain_scores_codex":[0.9992735,0.00008140585,0.00004319574,0.0001728868,0.0002703705,0.0001586119],"domain_scores_gemma":[0.9954041,0.001697957,0.0009040448,0.0005126115,0.001211384,0.0002698555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001532289,0.0006919382,0.4849941,0.0008288664,0.0002550293,0.00106562,0.001212131,0.0183559,0.1766383,0.002490303,0.02071873,0.2912169],"study_design_scores_gemma":[0.00006648843,0.001327628,0.8163701,0.0001712893,0.0002167782,0.00153534,0.002114999,0.07089731,0.08315685,0.005989814,0.01803329,0.0001201183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817799,0.002952127,0.004845676,0.001332816,0.0002023386,0.0000448575,0.001143392,0.000847184,0.006851669],"genre_scores_gemma":[0.9949916,0.0007846844,0.001733943,0.0003775236,0.0001076181,0.00002209523,0.0008798396,0.0001669539,0.0009358099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002762271,"threshold_uncertainty_score":0.006385684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579568976336572,"score_gpt":0.2616591443005382,"score_spread":0.2358634545371725,"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."}}