{"id":"W1820430086","doi":"10.1109/tns.2015.2429589","title":"A 32 kb Macro with 8T Soft Error Robust, SRAM Cell in 65-nm CMOS","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Soft error; CMOS; Static random-access memory; Macro; Transistor; Voltage; Electronic engineering; Single event upset; Memory cell; Access time; Computer science; Materials science; Electrical engineering; Optoelectronics; Computer hardware; Engineering","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":[0.0001269482,0.0002921645,0.0004591002,0.0002818999,0.0003508999,0.0004204976,0.0008739237,0.0003955226,0.003066768],"category_scores_gemma":[0.0003512983,0.0002541498,0.0002036556,0.0002786663,0.0001309917,0.000505671,0.0004590748,0.0002841132,0.001424881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236465,"about_ca_system_score_gemma":0.0003764431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248607,"about_ca_topic_score_gemma":0.002152279,"domain_scores_codex":[0.9997995,0.00001217771,0.00001889993,0.00004855516,0.00009187361,0.00002894311],"domain_scores_gemma":[0.9997224,0.00003116549,0.0000647005,0.00004304404,0.00009889877,0.00003969217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000630233,0.00008774975,0.002958121,0.0004990586,0.00007097001,0.002197222,0.0001405245,0.006304407,0.898966,0.002082092,0.01022088,0.07584276],"study_design_scores_gemma":[0.0002267964,0.004254614,0.01247137,0.0001065957,0.0003074279,0.006041722,0.0001557011,0.04808661,0.8303576,0.0008546626,0.09694014,0.0001968575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7966509,0.004961092,0.1612227,0.0005992519,0.0006972385,0.0005533276,0.003277787,0.01125767,0.02077995],"genre_scores_gemma":[0.8694334,0.0008201179,0.1100265,0.0004023049,0.0001152333,0.0002678017,0.001244525,0.0002452979,0.01744482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066768,"threshold_uncertainty_score":0.01025939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266919036406128,"score_gpt":0.208838125280149,"score_spread":0.1961689349160878,"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."}}