{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006507472,0.0001703897,0.0002685025,0.000169463,0.00004747046,0.00007913411,0.001003558,0.00008017862,0.00002161429],"category_scores_gemma":[0.00002177829,0.0001450332,0.00006893703,0.0005199708,0.0000243418,0.0001613119,0.00007153978,0.00008450198,0.0000409925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008086845,"about_ca_system_score_gemma":0.00005875614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004011222,"about_ca_topic_score_gemma":6.520278e-8,"domain_scores_codex":[0.9982789,0.00009391607,0.0004631905,0.0004644256,0.0004506109,0.0002490231],"domain_scores_gemma":[0.998517,0.00006285323,0.0002305618,0.0008588587,0.0002480312,0.00008272137],"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":[0.0001925148,0.001490377,0.00005140897,0.0001044743,0.00005533283,0.00002283651,0.002920407,0.08719335,0.5701565,0.2697762,0.01581157,0.05222503],"study_design_scores_gemma":[0.0007251888,0.0004674895,0.0002827547,0.00007324468,0.000006228585,0.00001706662,0.00004193575,0.3239622,0.6701571,0.00301088,0.0008588835,0.0003969408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001052182,0.000154937,0.9924002,0.0002350688,0.00005851894,0.001208856,8.625452e-7,0.0006298057,0.004259555],"genre_scores_gemma":[0.5837998,0.000007068461,0.4159354,0.0000548121,0.0000146068,0.0000200063,8.376857e-7,0.000006502679,0.0001610199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5827476,"threshold_uncertainty_score":0.591428,"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."}}