{"id":"W4315647659","doi":"10.3390/electronics12020367","title":"Design of Cost-Efficient SRAM Cell in Quantum Dot Cellular Automata Technology","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Static random-access memory; Quantum dot cellular automaton; Computer science; CMOS; Latency (audio); Cellular automaton; Electronic engineering; Engineering; Computer hardware; Algorithm; Telecommunications","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":[0.00120984,0.0002688362,0.0003957034,0.0009527928,0.00008470272,0.00005717375,0.002268728,0.0002269884,0.00001129236],"category_scores_gemma":[0.00008146953,0.0002825824,0.00007750962,0.004006153,0.0001065717,0.0001434856,0.0006556236,0.0004883599,0.0004620099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377703,"about_ca_system_score_gemma":0.0005253207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008965258,"about_ca_topic_score_gemma":0.000007151657,"domain_scores_codex":[0.9969099,0.0001819886,0.0005621189,0.0006952544,0.0005060001,0.001144746],"domain_scores_gemma":[0.9978822,0.0001909556,0.0002172314,0.001544103,0.00008318284,0.00008228153],"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":[0.00003216361,0.0009243474,0.0001700295,0.0001595133,0.00004292364,0.0004861404,0.0010375,0.1703128,0.5711278,0.2357994,0.002364018,0.01754327],"study_design_scores_gemma":[0.000500735,0.0002475797,0.00004411676,0.00002061579,0.000005918509,0.00001291248,0.000026377,0.7605134,0.2291269,0.005635402,0.003636649,0.0002293881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4340895,0.005230362,0.555331,0.001277842,0.0005036955,0.001279632,0.000004711196,0.00202135,0.0002619411],"genre_scores_gemma":[0.9931875,0.0002746741,0.006179478,0.00004091919,0.00001460289,0.00008078796,0.00001335468,0.00004148459,0.0001671881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5902005,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865815786811596,"score_gpt":0.2449894923519439,"score_spread":0.226331334483828,"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."}}