{"id":"W2755826572","doi":"10.1109/jssc.2017.2747151","title":"A 290-mV, 3.34-MHz, 6T SRAM With pMOS Access Transistors and Boosted Wordline in 65-nm CMOS Technology","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Solid-State Circuits","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PMOS logic; NMOS logic; Transistor; Static random-access memory; CMOS; Access time; Electrical engineering; Materials science; Optoelectronics; Computer science; Electronic engineering; Voltage; Engineering; Computer hardware","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004625339,0.0004056599,0.0007699151,0.0009131862,0.0001977872,0.0002193533,0.0009677516,0.0002410088,0.00002055978],"category_scores_gemma":[0.00005370359,0.0003489481,0.00008212636,0.0004244869,0.0002716984,0.001538006,0.00003748217,0.0009278551,0.00001257193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002477445,"about_ca_system_score_gemma":0.0001432583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002266944,"about_ca_topic_score_gemma":0.0002170273,"domain_scores_codex":[0.997763,0.00003477451,0.0008490403,0.0002771292,0.0004130278,0.000662971],"domain_scores_gemma":[0.9984705,0.00005675277,0.0004633725,0.0005429105,0.0002227169,0.0002437733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001057286,0.0009396867,0.1611281,0.002229827,0.002239806,0.008169554,0.01330303,0.3602607,0.2088937,0.00009468609,0.00537397,0.2363097],"study_design_scores_gemma":[0.05343201,0.005494139,0.3721515,0.01010738,0.001296292,0.01210449,0.002062854,0.07585224,0.4267896,0.003603165,0.02923618,0.007870192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914327,0.0007944329,0.005499948,0.0003973626,0.000897477,0.0003309805,0.00002268514,0.0001270061,0.0004974206],"genre_scores_gemma":[0.9986761,0.0006248787,0.0002479036,0.00005800154,0.0001830958,0.00001520706,0.000001178241,0.0001003088,0.00009337115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844085,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751224391122008,"score_gpt":0.2621116447519358,"score_spread":0.2445994008407157,"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."}}