{"id":"W1602403210","doi":"10.1109/acssc.2004.1399080","title":"High level exploration of quantum-dot cellular automata (QCA)","year":2005,"lang":"en","type":"article","venue":"","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Quantum dot cellular automaton; Cellular automaton; Computer science; Quantum cellular automaton; Electronic circuit; Automaton; Logic gate; Set (abstract data type); Simple (philosophy); Computer architecture; Computer engineering; Parallel computing; Theoretical computer science; Algorithm; Engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000531183,0.0002241768,0.0003325843,0.0002158737,0.0004334203,0.001010556,0.0004953638,0.000628547,0.002142941],"category_scores_gemma":[0.00214559,0.0001648182,0.0003862438,0.0002098611,0.0008132452,0.0009490634,0.0003626568,0.0005605414,0.0003277105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009917945,"about_ca_system_score_gemma":0.0005813756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661361,"about_ca_topic_score_gemma":0.00144577,"domain_scores_codex":[0.9996817,0.00008595427,0.00001115978,0.00003372273,0.0001554309,0.00003199028],"domain_scores_gemma":[0.9991058,0.000562543,0.00003537328,0.00009030127,0.0001838113,0.00002223231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000844098,0.0000627564,0.001683336,0.0002509057,0.00003039967,0.0001729499,0.0001809251,0.2143186,0.07526971,0.6858754,0.001148565,0.02092211],"study_design_scores_gemma":[0.00001167749,0.00007096372,0.0002534119,0.00001962585,0.00001124372,0.00004706942,0.00004221614,0.8966945,0.02309029,0.07345521,0.006290181,0.00001366887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3273897,0.001256821,0.6161305,0.001413616,0.0001557273,0.0001345071,0.0002734958,0.0006838056,0.05256196],"genre_scores_gemma":[0.8505872,0.0003992848,0.1463002,0.0001193374,0.00001255911,0.0001108835,0.0000892173,0.00004808623,0.002333173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002142941,"threshold_uncertainty_score":0.007196009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05832322581153272,"score_gpt":0.2564816261422218,"score_spread":0.198158400330689,"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."}}