{"id":"W2103879953","doi":"10.1109/tnano.2004.828527","title":"Split Current Quantum-Dot Cellular Automata—Modeling and Simulation","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Nanotechnology","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Quantum dot; Quantum tunnelling; Quantum dot cellular automaton; Cellular automaton; Fabrication; Quantum cellular automaton; Nanoelectronics; Diagonal; Optoelectronics; Quantum; Physics; Nanotechnology; Materials science; Computer science; Quantum mechanics","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":[0.0002460967,0.0003203612,0.0003170329,0.0006467224,0.0003573273,0.0001065208,0.0008198209,0.0003360193,0.00001082989],"category_scores_gemma":[0.00001415326,0.0003365352,0.0001143362,0.0007580098,0.0001486233,0.0005142894,0.00001820251,0.0006297928,0.0002073897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682719,"about_ca_system_score_gemma":0.000115622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005045564,"about_ca_topic_score_gemma":0.00001822651,"domain_scores_codex":[0.9977944,0.00005993243,0.0004630502,0.0008239007,0.0003418092,0.0005168919],"domain_scores_gemma":[0.9984461,0.00008742853,0.0001108404,0.00116264,0.00007867916,0.0001142886],"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":[0.00001588225,0.0003352058,0.000001122113,0.00004263555,0.00002969068,0.00004047429,0.0002467845,0.8163316,0.02382685,0.04479702,0.000002684938,0.1143301],"study_design_scores_gemma":[0.0009012682,0.0001865218,0.000002955505,0.00005930037,0.00002426577,0.00005044922,0.00001417054,0.8852202,0.0928728,0.01987785,0.0004679909,0.0003222523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2504863,0.0003149793,0.7455851,0.001032054,0.0008593271,0.000262295,0.000005277698,0.001443915,0.0000107043],"genre_scores_gemma":[0.9893574,0.0001436832,0.01032093,0.00006958277,0.00002186345,0.0000380549,0.000002542714,0.00003266129,0.00001329463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7388711,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225532951395184,"score_gpt":0.2597403973818829,"score_spread":0.2371871022423645,"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."}}