{"id":"W2037762867","doi":"10.1109/tc.2012.147","title":"Analysis of Error Masking and Restoring Properties of Sequential Circuits","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sequential logic; Masking (illustration); Computer science; Binary decision diagram; Electronic circuit; Algorithm; Finite-state machine; Benchmark (surveying); Scalability; Sequence (biology); Binary number; Decoding methods; Logic gate; Electronic engineering; Mathematics; Arithmetic","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":[0.0001069188,0.00008334198,0.0001781643,0.0003416236,0.00003155275,0.000006099065,0.00005918369,0.00004052915,0.000004475996],"category_scores_gemma":[0.00000127668,0.00008805892,0.00007573582,0.0003853855,0.00003084731,0.0001354793,4.95173e-7,0.00009716607,6.365795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007218655,"about_ca_system_score_gemma":0.000008421278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001985044,"about_ca_topic_score_gemma":0.00001065962,"domain_scores_codex":[0.9994518,0.0000259675,0.0001729426,0.00007453631,0.0001193329,0.0001554706],"domain_scores_gemma":[0.9997272,0.00004585515,0.00003461082,0.0001328061,0.0000192642,0.00004023628],"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":[0.000003124657,0.00002260404,0.0001030004,0.00005999429,0.0005273069,1.205401e-7,0.0008104187,0.9687465,0.01666921,0.0000144017,0.000003294621,0.01303998],"study_design_scores_gemma":[0.000131284,0.00003020143,0.001067587,0.00004224497,0.0003359189,0.000001827015,0.00002219613,0.8775775,0.1206694,9.658706e-7,0.00002673117,0.00009410443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4837643,0.0001543954,0.5155365,0.000002689725,0.0004191546,0.00004542024,0.000002749722,0.00004367366,0.00003104796],"genre_scores_gemma":[0.9993995,0.00002046694,0.0005250889,0.000004475733,0.00002468696,0.000005476432,4.923129e-7,0.00001418389,0.000005674095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5156351,"threshold_uncertainty_score":0.3590938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940698700378479,"score_gpt":0.237667498813885,"score_spread":0.2082605118101002,"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."}}