{"id":"W2148423020","doi":"10.5555/1899721.1899791","title":"Fault-tolerant resynthesis with dual-output LUTs","year":2010,"lang":"en","type":"article","venue":"Asia and South Pacific Design Automation Conference","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Triple modular redundancy; Computer science; Field-programmable gate array; Redundancy (engineering); Mean time between failures; Fault tolerance; Parallel computing; Lookup table; Overhead (engineering); Embedded system; Failure rate; Engineering; Reliability engineering; Distributed computing","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":[0.0002955955,0.0002043587,0.0001916149,0.0001207332,0.0001228813,0.0001538216,0.00009749253,0.0001398466,0.00007371657],"category_scores_gemma":[0.00007121207,0.0001801502,0.00002283224,0.0001716246,0.00007919056,0.000215972,0.000007503692,0.0002738932,0.00007691402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520688,"about_ca_system_score_gemma":0.00007764873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002426027,"about_ca_topic_score_gemma":0.000005985274,"domain_scores_codex":[0.9989737,0.00007540697,0.0002128864,0.0002349291,0.0002199547,0.000283127],"domain_scores_gemma":[0.9992774,0.0001831702,0.00006381416,0.0002858677,0.00008263818,0.0001071045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002271392,0.000185592,0.002421638,0.0006525964,0.000681068,0.0001024845,0.05215262,0.2843442,0.09691146,0.06379253,0.006212373,0.4923163],"study_design_scores_gemma":[0.0003522493,0.00006965138,0.005023026,0.00003769757,0.00002979115,0.00003694305,0.0004231141,0.9867901,0.005041305,0.0003466686,0.001527894,0.0003215516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3922696,0.00008020007,0.5909825,0.0001781238,0.0004086322,0.0006054294,0.00001509946,0.001304276,0.01415618],"genre_scores_gemma":[0.9894133,0.00001144931,0.01014509,0.00001226331,0.00004639536,0.00006134409,0.000007928718,0.00003359523,0.0002686873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7024459,"threshold_uncertainty_score":0.7346312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009820851712225602,"score_gpt":0.192474961949433,"score_spread":0.1826541102372074,"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."}}