{"id":"W1480203124","doi":"10.1109/fpt.2002.1188684","title":"Power-aware technology mapping for LUT-based FPGAs","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lookup table; Computer science; Field-programmable gate array; Routing (electronic design automation); Replication (statistics); Logic gate; Power (physics); Logic synthesis; Computer architecture; Embedded system; Algorithm","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":[0.0001186642,0.0003379371,0.0002122186,0.0003620602,0.0002453753,0.0003085186,0.0004460668,0.0001625905,0.001584165],"category_scores_gemma":[0.0006726551,0.0001370331,0.0002002501,0.0004269954,0.0001513637,0.0006587137,0.000225723,0.0002275438,0.0002374785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262747,"about_ca_system_score_gemma":0.0002669621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004680092,"about_ca_topic_score_gemma":0.001484389,"domain_scores_codex":[0.9998978,0.00002321551,0.00001081703,0.00001589568,0.0000364267,0.00001577232],"domain_scores_gemma":[0.9997411,0.00007926973,0.00004487826,0.00008878788,0.0000362125,0.000009661432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000202976,0.00008085424,0.002073496,0.000223025,0.00004470278,0.0004325899,0.0002059223,0.1841443,0.274905,0.009611229,0.001910537,0.5261653],"study_design_scores_gemma":[0.00007063975,0.0005383301,0.003045055,0.00003407169,0.00007902808,0.0009971188,0.0001001883,0.665239,0.3016724,0.01287179,0.01531775,0.0000346595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3361291,0.0008491743,0.6550897,0.0001372915,0.00007757985,0.00007420491,0.00009580144,0.002399208,0.005147858],"genre_scores_gemma":[0.7425436,0.0002767955,0.2544991,0.0000400913,0.0000186213,0.00004127497,0.0001039386,0.00008183681,0.002394808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001584165,"threshold_uncertainty_score":0.005299568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027635164221018,"score_gpt":0.2083733573793583,"score_spread":0.1980970057371481,"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."}}