{"id":"W1963611032","doi":"10.1145/1046192.1046237","title":"A leakage-aware CAD flow for MTCMOS FPGA architectures (abstract only)","year":2005,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Field-programmable gate array; Dissipation; CMOS; Computer science; Embedded system; Leakage power; Leakage (economics); Logic block; Design flow; Reconfigurable computing; Electronic engineering; Engineering; Electrical engineering; Transistor; Voltage; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001275542,0.0002933385,0.0002425887,0.0001578172,0.00008931653,0.0000605941,0.0002732066,0.0001398139,0.0005611503],"category_scores_gemma":[0.00002026211,0.0002541703,0.0001274,0.0001512424,0.00003015908,0.000178929,0.00002341581,0.0002538906,0.0004107823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035993,"about_ca_system_score_gemma":0.00004091538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001587262,"about_ca_topic_score_gemma":0.0002434108,"domain_scores_codex":[0.9986823,0.000006923978,0.0002956114,0.0002560628,0.0002023803,0.0005567489],"domain_scores_gemma":[0.9993392,0.00009891393,0.00002456582,0.0003657925,0.00003715102,0.0001344373],"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":[0.00004240803,0.00006982137,0.0002179452,0.0002790097,0.0001309468,0.00001093913,0.0009182842,0.6964821,0.006248422,0.0002055102,0.06320997,0.2321847],"study_design_scores_gemma":[0.001790513,0.0001599501,0.004875728,0.00008018402,0.00005267184,0.00005564611,0.0001091474,0.6564665,0.1099916,0.0001849499,0.2251058,0.001127351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6965149,0.001450981,0.2370354,0.00122386,0.001775598,0.002282605,0.0002047444,0.005041145,0.05447083],"genre_scores_gemma":[0.9734863,0.00002832738,0.02352632,0.0002435063,0.0006129619,0.00008656861,0.00002293869,0.00009918196,0.001893907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2769714,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009789719754975185,"score_gpt":0.2172897524422341,"score_spread":0.2075000326872589,"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."}}