{"id":"W1892320192","doi":"10.1186/s13673-015-0046-x","title":"An energy-delay product study on chip multi-processors for variable stage pipelining","year":2015,"lang":"en","type":"article","venue":"Human-centric Computing and Information Sciences","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Pipeline (software); Energy consumption; Transistor; Chip; Dynamic demand; Power management; Embedded system; Variable (mathematics); Clock gating; Energy (signal processing); Power (physics); Electronic engineering; Voltage; Electrical engineering; Engineering; Clock signal; Telecommunications; Clock skew","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":[0.0004878058,0.0004510087,0.0003114835,0.0003607424,0.0001398961,0.0003641144,0.0004321344,0.0003348617,0.001895587],"category_scores_gemma":[0.001739922,0.0002009302,0.0004237403,0.0006806341,0.0001974239,0.0006197246,0.000159471,0.000413493,0.0001454064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498938,"about_ca_system_score_gemma":0.0003577841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366812,"about_ca_topic_score_gemma":0.001826989,"domain_scores_codex":[0.9998652,0.0000322396,0.000005170772,0.00002455355,0.00005157054,0.00002126044],"domain_scores_gemma":[0.9988936,0.0008115763,0.00009273915,0.00005492266,0.0001330378,0.00001420463],"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":[0.0001479424,0.00008185193,0.002029963,0.0002093831,0.00003316532,0.000350652,0.00006091856,0.9244362,0.03063444,0.01553477,0.0007617958,0.0257189],"study_design_scores_gemma":[0.000002553862,0.0001167628,0.0003785022,0.000003467931,0.000007877042,0.00003935901,0.000007434613,0.9956326,0.002630508,0.0007674411,0.0004108674,0.000002749871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076737,0.002881808,0.2763324,0.0003127871,0.00005759779,0.00008869496,0.0002018075,0.0002700753,0.01218101],"genre_scores_gemma":[0.9783598,0.000319503,0.01964915,0.00002183915,0.00001013908,0.00002059215,0.00004978454,0.00002699945,0.001542251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001895587,"threshold_uncertainty_score":0.006341338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06242930151119142,"score_gpt":0.3099218600158573,"score_spread":0.2474925585046659,"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."}}