{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001218362,0.0001837485,0.0003343796,0.000170069,0.0003451383,0.0006344325,0.0007744406,0.0004165421,0.001747243],"category_scores_gemma":[0.000264505,0.0001015745,0.0002178635,0.0002743513,0.0002600309,0.0005807345,0.0002174905,0.000184147,0.000371352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005943545,"about_ca_system_score_gemma":0.0004278351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826438,"about_ca_topic_score_gemma":0.002675879,"domain_scores_codex":[0.9998831,0.00001041507,0.000008359414,0.0000266374,0.00005314877,0.00001833884],"domain_scores_gemma":[0.9997174,0.00005466058,0.0000512874,0.00004449595,0.0001154667,0.00001671653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006202816,0.000187947,0.003637384,0.0005476007,0.00008700304,0.001881689,0.0002156027,0.05637236,0.8467979,0.03585428,0.004313313,0.04948454],"study_design_scores_gemma":[0.000113374,0.0009091353,0.002624578,0.00006002793,0.00009853264,0.0008098063,0.00008468155,0.5030051,0.4697075,0.006389164,0.01611985,0.00007820888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8982195,0.002115463,0.07511518,0.0009783905,0.0003624553,0.00008749429,0.0009011498,0.001522273,0.02069797],"genre_scores_gemma":[0.9838652,0.0001814433,0.01423244,0.00003838611,0.00001290961,0.00001642113,0.00009005218,0.00001730868,0.001545835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001826438,"threshold_uncertainty_score":0.005845129,"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."}}