{"id":"W2544319392","doi":"10.1109/icm.2009.5418662","title":"Hardware efficient design of speed optimized power stringent Application Specific Processor","year":2009,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Embedded system; Power consumption; Power (physics); Speedup; Design methods; Computer hardware; Computer architecture; Parallel computing; Engineering","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":[0.0002240226,0.0002400487,0.0002130689,0.0002322021,0.0001942967,0.0004722641,0.0005256507,0.0002312003,0.001492996],"category_scores_gemma":[0.0003745256,0.0001702546,0.0001924463,0.0002563264,0.0001826551,0.0003263801,0.000211726,0.000319452,0.0003270226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604508,"about_ca_system_score_gemma":0.0006087639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003742183,"about_ca_topic_score_gemma":0.0006902174,"domain_scores_codex":[0.9997723,0.00003959962,0.00002072618,0.00003143511,0.00009805291,0.00003790547],"domain_scores_gemma":[0.9998141,0.00004152237,0.00004405127,0.0000298309,0.00006002051,0.00001046705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004071813,0.0001214461,0.002130007,0.000436753,0.00008318607,0.0004619269,0.0002361581,0.3092103,0.4220634,0.06108363,0.004424774,0.1993413],"study_design_scores_gemma":[0.00008301112,0.000713999,0.00181892,0.00001921657,0.00007598418,0.0005181846,0.00006297538,0.8223721,0.1419257,0.006091179,0.02629391,0.00002480433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1317178,0.0003713579,0.8576561,0.0001534489,0.00003245901,0.0001368133,0.00006204072,0.0008196639,0.009050358],"genre_scores_gemma":[0.7628678,0.0002877047,0.2312308,0.0001288553,0.00002715778,0.0001743785,0.0001107411,0.00007924176,0.005093339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001492996,"threshold_uncertainty_score":0.004994631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522733857257093,"score_gpt":0.2598807705710989,"score_spread":0.234653431998528,"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."}}