{"id":"W1967128905","doi":"10.1109/fpt.2012.6412139","title":"VersaPower: Power estimation for diverse FPGA architectures","year":2012,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field-programmable gate array; Computer science; Routing (electronic design automation); Embedded system; Spice; CAD; Computer architecture; Power (physics); Gate array; Logic gate; Interconnection; Logic synthesis; Architecture; Electronic engineering; Engineering; Telecommunications","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":[0.00006983195,0.0000762198,0.00006382522,0.0000521015,0.00002822435,0.00001128481,0.0000544495,0.00004775561,0.0002188025],"category_scores_gemma":[0.00001478409,0.00006606268,0.00004084284,0.00003816143,0.000009740907,0.0000845,0.000009237832,0.00004293742,0.00006797608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002103231,"about_ca_system_score_gemma":0.000001875875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003317698,"about_ca_topic_score_gemma":8.188554e-7,"domain_scores_codex":[0.999643,0.000003736365,0.00006894294,0.00004861041,0.0000535737,0.0001821965],"domain_scores_gemma":[0.9998038,0.00003345866,0.000006993656,0.00009462341,0.00001032939,0.00005077292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006686696,0.0001770668,0.002308885,0.0002909136,0.000222838,0.000002467348,0.005457827,0.02022581,0.04396763,0.02296407,0.4818266,0.422489],"study_design_scores_gemma":[0.001325105,0.0002457422,0.006558432,0.00005269654,0.0001051544,0.00002529688,0.0003827013,0.1235152,0.6676368,0.01014547,0.1886292,0.001378343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0333884,0.0001609249,0.9352224,0.00002456936,0.0003141018,0.0002561693,0.000008945904,0.001161509,0.02946291],"genre_scores_gemma":[0.9597791,0.000003243277,0.03989144,0.00005001334,0.00005166846,0.00002971048,0.000006282589,0.00001654023,0.0001720052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9263907,"threshold_uncertainty_score":0.2693958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196902767517066,"score_gpt":0.2378588849344367,"score_spread":0.2258898572592661,"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."}}