{"id":"W3138924352","doi":"10.1049/cdt2.12021","title":"Static power model for CMOS and FPGA circuits","year":2021,"lang":"en","type":"article","venue":"IET Computers & Digital Techniques","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spice; Computer science; Electronic engineering; Field-programmable gate array; CMOS; Transistor; Power (physics); Dynamic demand; Static timing analysis; Power consumption; Power analysis; Process (computing); Voltage; Embedded system; Engineering; Electrical engineering; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002108061,0.000685156,0.0003937182,0.0006629789,0.0002554055,0.0004577137,0.001085723,0.0007716388,0.005381726],"category_scores_gemma":[0.0007577524,0.0003275877,0.000749804,0.0004836974,0.0002901902,0.0007676354,0.0003159227,0.0005537094,0.00131309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007189374,"about_ca_system_score_gemma":0.0004196513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003875362,"about_ca_topic_score_gemma":0.003797501,"domain_scores_codex":[0.9997349,0.00004478644,0.000010641,0.00005513945,0.000123692,0.00003076791],"domain_scores_gemma":[0.9997807,0.00008883807,0.00002981019,0.00003398177,0.00006088475,0.000005728783],"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":[0.00002421457,0.00001804902,0.0002793633,0.00004210654,0.00001836096,0.00007016301,0.00002438165,0.9715778,0.005994971,0.009034852,0.00069753,0.0122181],"study_design_scores_gemma":[0.000001540373,0.00001447035,0.0001102437,0.000002998787,0.000004715641,0.00001678463,0.000002248508,0.9976223,0.0006426452,0.001024152,0.0005561101,0.000001856227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0430878,0.0009298816,0.9265613,0.0003129047,0.00008271571,0.0001006511,0.0005911533,0.001155967,0.0271777],"genre_scores_gemma":[0.9233786,0.0009987034,0.03395658,0.0002702189,0.00007450462,0.0003168849,0.0005752268,0.0002256807,0.04020349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005381726,"threshold_uncertainty_score":0.0180037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093328217127548,"score_gpt":0.2118650168010427,"score_spread":0.2009317346297672,"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."}}