{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003445127,0.0001677791,0.000137406,0.0003028385,0.0001489922,0.00009131855,0.0003931439,0.00007039026,0.00005376938],"category_scores_gemma":[0.000007940391,0.0001627542,0.00003344665,0.001259348,0.0002074057,0.0005141579,0.000001356709,0.0004103215,0.0002364665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004820991,"about_ca_system_score_gemma":0.0001733518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004059057,"about_ca_topic_score_gemma":0.0001393176,"domain_scores_codex":[0.9985541,0.00002506498,0.0001622395,0.0003103779,0.0004555946,0.000492655],"domain_scores_gemma":[0.9993227,0.00004405619,0.0000263701,0.0003515265,0.00005693502,0.0001984694],"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":[0.00001830379,0.00006737056,0.000004518601,0.00001227131,0.000003695577,0.000005950719,0.0006362634,0.9939615,0.00140428,0.00001563984,0.0002221108,0.003648122],"study_design_scores_gemma":[0.0005204135,0.0002235163,0.000105465,0.00002139577,0.00000866607,0.00001864224,0.0001329992,0.9927457,0.004158356,0.00001305297,0.001830249,0.0002215326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343541,0.00004495155,0.1588889,0.000180323,0.0008959787,0.000395002,0.000008714733,0.0006204229,0.004611617],"genre_scores_gemma":[0.9947371,0.000005902677,0.004879269,0.0001078101,0.00001985434,0.00001780923,9.634397e-8,0.00004798644,0.0001840939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603831,"threshold_uncertainty_score":0.6636925,"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."}}