{"id":"W2953389333","doi":"10.48550/arxiv.math/0306136","title":"Asymptotic Randomization of Sofic Shifts by Linear Cellular Automata","year":2003,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Randomization; Cellular automaton; Mathematics; Automaton; Combinatorics; Discrete mathematics; Computer science; Theoretical computer science; Algorithm; Medicine; Randomized controlled trial; Internal medicine","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":[0.001286602,0.0003361704,0.0006515585,0.0007074219,0.000951101,0.001481407,0.0008400977,0.0009437249,0.002274902],"category_scores_gemma":[0.009399047,0.0003933181,0.0007877827,0.0003435313,0.002464638,0.00144825,0.001403913,0.0008915942,0.0002933767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157504,"about_ca_system_score_gemma":0.0007672993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623267,"about_ca_topic_score_gemma":0.001723065,"domain_scores_codex":[0.9985254,0.0005062363,0.00009331934,0.000295677,0.0002782347,0.0003011885],"domain_scores_gemma":[0.994975,0.002634428,0.0007113786,0.0008702271,0.0004054117,0.0004035905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005179007,0.00009053999,0.005795123,0.00008106963,0.00007056737,0.0003298904,0.0005289942,0.1664697,0.02256168,0.7853524,0.001361811,0.0168403],"study_design_scores_gemma":[0.0000783926,0.000114221,0.0009572742,0.00001639309,0.00002275594,0.000117688,0.00008900531,0.6439564,0.007535087,0.3457988,0.001266142,0.0000478917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.760012,0.0001993923,0.2289268,0.0006402099,0.00006617117,0.00006936299,0.000155714,0.0008282397,0.009102139],"genre_scores_gemma":[0.9876446,0.00004818805,0.0102908,0.00006819789,0.00002516557,0.00005997786,0.00006433494,0.00003394332,0.001764725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002274902,"threshold_uncertainty_score":0.01142776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138231806463422,"score_gpt":0.2446477398190616,"score_spread":0.2232654217544274,"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."}}