{"id":"W1513020047","doi":"10.1007/11556930_61","title":"Area-Aware Pipeline Gating for Embedded Processors","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Pipeline (software); Overhead (engineering); Branch predictor; Power gating; Embedded system; Parallel computing; Simple (philosophy); Critical path method; Microarchitecture; Gating; Computer hardware; Operating system; Transistor","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":[0.00007526155,0.0003696479,0.0002251305,0.0001898624,0.000148417,0.0002714407,0.0007718888,0.0002029928,0.003548214],"category_scores_gemma":[0.0001749476,0.0002138655,0.0001491098,0.0003613636,0.0001338043,0.0004629629,0.0003105945,0.0004209035,0.0004377221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662016,"about_ca_system_score_gemma":0.000277395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003015688,"about_ca_topic_score_gemma":0.001285665,"domain_scores_codex":[0.9999522,0.000005628618,0.000001871232,0.000008402755,0.00001943217,0.00001242067],"domain_scores_gemma":[0.9999372,0.00002100785,0.000007565804,0.00001232587,0.00001690657,0.000005016999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003386014,0.0001490546,0.0005613464,0.0004423974,0.00004966116,0.0001528776,0.00009365991,0.1066998,0.3040566,0.03465829,0.016505,0.5362928],"study_design_scores_gemma":[0.00006776064,0.0005242894,0.001479082,0.00007874703,0.00008754422,0.0004095892,0.00004211163,0.7455862,0.1488551,0.04805203,0.05479004,0.00002758108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07914987,0.006834878,0.8826944,0.0003957482,0.0004080712,0.00004986471,0.0001612598,0.003098439,0.02720737],"genre_scores_gemma":[0.7937653,0.003400251,0.1728777,0.0002483029,0.0001530708,0.00005683652,0.000288243,0.0004208739,0.02878935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003548214,"threshold_uncertainty_score":0.01186991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364382014329493,"score_gpt":0.2777259816483452,"score_spread":0.2540821615050503,"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."}}