{"id":"W2137447276","doi":"10.1109/dsd.2007.10","title":"A New Class of Cellular Automata","year":2007,"lang":"en","type":"article","venue":"Digital Systems Design","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Cellular automaton; Mobile automaton; Benchmark (surveying); Shift register; Computer science; Neighbourhood (mathematics); Automaton; Continuous spatial automaton; Electronic circuit; Asynchronous cellular automaton; Algorithm; Finite-state machine; Theoretical computer science; Built-in self-test; Time complexity; Quantum finite automata; Mathematics; Automata theory; Telecommunications","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":[0.000359752,0.000113803,0.0001738209,0.00008942903,0.00004176467,0.0002848356,0.0007800154,0.00005940837,0.000002944364],"category_scores_gemma":[0.00001770352,0.0001061561,0.00006752121,0.0004323128,0.00002207942,0.0005092457,0.0001176103,0.0000488118,0.0001883666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003129882,"about_ca_system_score_gemma":0.00008710616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004753945,"about_ca_topic_score_gemma":5.347393e-7,"domain_scores_codex":[0.9988288,0.00001991438,0.0003610569,0.0002581718,0.0002898301,0.0002421687],"domain_scores_gemma":[0.9988229,0.0001356393,0.0001379196,0.0007030295,0.00005077996,0.0001497523],"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":[0.0000134825,0.0002736925,0.0003431636,0.0001274121,0.00007831011,0.00009494967,0.0007492939,0.0006995012,0.07354669,0.7498308,0.02564059,0.1486021],"study_design_scores_gemma":[0.001924912,0.0004903941,0.001887312,0.0002713873,0.000034177,0.0003006416,0.0002663006,0.509556,0.1587233,0.009035308,0.3160824,0.001427946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00153523,0.0002407716,0.9839677,0.00004542958,0.0001870168,0.000307569,0.000004941075,0.0002825313,0.01342884],"genre_scores_gemma":[0.9848702,9.587054e-7,0.01329621,0.00001165974,0.00006222779,0.000006940028,0.000006920134,0.00001067247,0.001734234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.983335,"threshold_uncertainty_score":0.4328919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109114505732392,"score_gpt":0.225863888365656,"score_spread":0.204772743308332,"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."}}