{"id":"W3134549106","doi":"10.1049/cdt2.12012","title":"Reliable SRAM using NAND‐NOR Gate in beyond‐CMOS QCA technology","year":2021,"lang":"en","type":"article","venue":"IET Computers & Digital Techniques","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"NAND gate; CMOS; Inverter; Logic gate; Electronic engineering; Computer science; Gate equivalent; Quantum dot cellular automaton; NAND logic; Electronic circuit; AND-OR-Invert; AND gate; Adder; Logic synthesis; Electrical engineering; Engineering; Logic family; Gate oxide; Transistor","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002698925,0.0003996443,0.0005257981,0.0006329867,0.0001258166,0.0009232561,0.001854544,0.000290455,0.000006025684],"category_scores_gemma":[0.00006847666,0.000434568,0.0001558611,0.002156246,0.0001791594,0.001784879,0.001965783,0.0004466465,0.00004461065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155087,"about_ca_system_score_gemma":0.0002562142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003368094,"about_ca_topic_score_gemma":0.000006627649,"domain_scores_codex":[0.9970534,0.0000557042,0.0006358991,0.00104945,0.0004216243,0.0007839623],"domain_scores_gemma":[0.9978656,0.00009329411,0.0001914387,0.001512756,0.0002028485,0.0001341301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005133439,0.002318185,0.01152314,0.0004225608,0.0002552631,0.01202617,0.001353635,0.001701477,0.06373607,0.2431601,0.02494529,0.6385068],"study_design_scores_gemma":[0.0008184629,0.0004195594,0.0003190577,0.000842791,0.00001695717,0.002153013,0.00006951969,0.3626006,0.4300674,0.1399198,0.06103254,0.00174036],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1399924,0.0006590071,0.8476125,0.001840178,0.0006898869,0.0005469295,0.00001409956,0.004449445,0.00419553],"genre_scores_gemma":[0.6880367,0.00003241207,0.3111061,0.0005140863,0.00005946572,0.00003300513,0.00001944648,0.00004948557,0.0001492666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6367664,"threshold_uncertainty_score":0.9998106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153176808702251,"score_gpt":0.2431194410620365,"score_spread":0.2315876729750139,"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."}}