{"id":"W4289928533","doi":"10.3390/app12157846","title":"Novel Reversible Comparator Design in Quantum Dot-Cellular Automata with Power Dissipation Analysis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Comparator; Quantum dot cellular automaton; Computer science; Reversible computing; Dissipation; Energy consumption; Electronic circuit; Electronic engineering; Very-large-scale integration; Logic gate; Power analysis; Digital electronics; Quantum; Algorithm; Quantum computer; Electrical engineering; Embedded system; Engineering; Physics; Cryptography; Voltage","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":[0.0001507465,0.0001876371,0.0003427557,0.0002577817,0.0003974604,0.0007222291,0.000873264,0.0005393927,0.002196763],"category_scores_gemma":[0.0003666776,0.0001506231,0.000320808,0.0003234624,0.0003022769,0.0006749334,0.000268128,0.0002650662,0.0002037815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000645354,"about_ca_system_score_gemma":0.0004918299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194211,"about_ca_topic_score_gemma":0.00199118,"domain_scores_codex":[0.9998541,0.00002191044,0.00001178146,0.00004091989,0.00004812492,0.00002307581],"domain_scores_gemma":[0.9998654,0.0000413509,0.00001859558,0.00001927238,0.00004403917,0.00001136363],"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":[0.0003044364,0.000195672,0.001901649,0.0005573789,0.0001122865,0.000783834,0.0002896092,0.3103231,0.3123652,0.2341252,0.002337752,0.136704],"study_design_scores_gemma":[0.00002219145,0.000140295,0.000211138,0.00001501407,0.00002912097,0.0001559588,0.00001439307,0.9578298,0.02823488,0.00935228,0.00397503,0.00001987143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1579074,0.001548862,0.8173032,0.000363195,0.0002203007,0.0001480224,0.0001944369,0.0008868268,0.0214278],"genre_scores_gemma":[0.9227306,0.0002250776,0.07456799,0.00007016878,0.00001063837,0.00006777094,0.00004149809,0.00002123238,0.002264948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002196763,"threshold_uncertainty_score":0.007348895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313778623767956,"score_gpt":0.2478175107802296,"score_spread":0.216439648403434,"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."}}