{"id":"W1982064050","doi":"10.1145/1229175.1229177","title":"Simulation of random cell displacements in QCA","year":2007,"lang":"en","type":"article","venue":"ACM Journal on Emerging Technologies in Computing Systems","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Crossover; Quantum dot cellular automaton; Cellular automaton; Inverter; Displacement (psychology); Electronic circuit; Computer science; Coherence (philosophical gambling strategy); Electronic engineering; Function (biology); Algorithm; Mathematics; Engineering; Electrical engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.004427177,0.0002221632,0.0004603883,0.001352877,0.0001161667,0.0001095762,0.002777265,0.0001802654,7.311261e-7],"category_scores_gemma":[0.001435504,0.0002034132,0.00008255793,0.001333174,0.00006220553,0.0002918403,0.0009208401,0.000712133,0.000007407699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034637,"about_ca_system_score_gemma":0.00004196818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002963662,"about_ca_topic_score_gemma":0.000005331574,"domain_scores_codex":[0.9969719,0.000174823,0.001299104,0.0003751777,0.0006104034,0.0005685892],"domain_scores_gemma":[0.9965278,0.001442198,0.0008253343,0.00107139,0.00009654801,0.00003674188],"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":[0.00004812965,0.000179578,0.02807681,0.0001080148,0.00001729862,0.0002645541,0.0007156162,0.9450907,0.001507219,0.003204527,0.00006438982,0.02072321],"study_design_scores_gemma":[0.001969982,0.0001439293,0.001623341,0.0008825752,0.000003251549,0.00004417644,0.0007275267,0.989092,0.00348843,0.001565895,0.0002304021,0.0002285254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5535862,0.0005710441,0.4439183,0.0001699704,0.001106909,0.000204263,2.286978e-7,0.0003088162,0.0001342843],"genre_scores_gemma":[0.988789,0.00002409384,0.01110674,0.00001265689,0.00003826714,0.000001484052,5.375815e-7,0.00001585446,0.00001131916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4352028,"threshold_uncertainty_score":0.829495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096406007632658,"score_gpt":0.2993816023994463,"score_spread":0.2784175423231198,"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."}}