{"id":"W4283797635","doi":"10.1016/j.ijleo.2022.169577","title":"Design and implementation of an N × 32-bit SRAM in QCA using coplanar wire-crossing network","year":2022,"lang":"en","type":"article","venue":"Optik","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Static random-access memory; Computer science; CMOS; Latency (audio); Electronic engineering; Electrical engineering; Physics; Optoelectronics; Computer hardware; Telecommunications; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00074295,0.00008320674,0.0001281132,0.00007830519,0.0002675397,0.0001585304,0.000345317,0.00001856843,0.00003185733],"category_scores_gemma":[0.000003177068,0.00009753488,0.00001485728,0.00039346,0.00004057904,0.000407128,0.000298512,0.00009213308,9.839079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008004499,"about_ca_system_score_gemma":0.0001303866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003702639,"about_ca_topic_score_gemma":0.00003739478,"domain_scores_codex":[0.9988625,0.0002076219,0.0002249945,0.0002604286,0.0002089387,0.0002355184],"domain_scores_gemma":[0.9994765,0.00005275467,0.000120779,0.0002927942,0.00001474223,0.00004242097],"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":[0.00004724507,0.0001603928,0.01021076,0.00006306729,0.00003338881,0.0002331836,0.0127841,0.8507612,0.03512559,0.01013107,0.0004612762,0.07998868],"study_design_scores_gemma":[0.0003704367,0.0001292826,0.002731995,0.00001140192,0.000004766955,0.00005041446,0.0002431795,0.9927626,0.00225922,0.001123529,0.0001952206,0.0001179937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7648273,0.0001780982,0.2346037,0.00003487904,0.0001255185,0.0001728679,0.000001867207,0.00003482357,0.00002097863],"genre_scores_gemma":[0.8470829,0.000001698013,0.152808,0.00005888112,0.00001848823,0.000007131272,0.000007712947,0.000008469442,0.000006750286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420013,"threshold_uncertainty_score":0.3977357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860649947962603,"score_gpt":0.2944961735736006,"score_spread":0.2658896740939746,"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."}}