{"id":"W116072621","doi":"","title":"Emergent Defect Dynamics in Two-Dimensional Cellular Automata.","year":2009,"lang":"en","type":"article","venue":"Journal of cellular automata","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Cellular automaton; Homogeneous; Dynamics (music); Computer science; Statistical physics; Neighbourhood (mathematics); Reversible cellular automaton; Automaton; Biological system; Theoretical computer science; Algorithm; Physics; Mathematics; Biology; Mobile automaton; Mathematical analysis; Automata theory","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":[0.0004997829,0.0002939989,0.0005949481,0.0007589658,0.0005795383,0.001306978,0.0006918969,0.0009345564,0.00147224],"category_scores_gemma":[0.005009115,0.0002486655,0.000659763,0.0004045746,0.001567086,0.001483299,0.001044121,0.0008177859,0.0002013337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009329448,"about_ca_system_score_gemma":0.000372043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461166,"about_ca_topic_score_gemma":0.0009049472,"domain_scores_codex":[0.9995814,0.00009025771,0.00003090893,0.00007102558,0.0001620449,0.00006438781],"domain_scores_gemma":[0.9975569,0.00133319,0.0003045461,0.0003434582,0.0002580934,0.0002038502],"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":[0.0001982635,0.00009175245,0.01135055,0.000304321,0.00009461173,0.001425329,0.001012357,0.3379438,0.03095569,0.5912228,0.003056285,0.0223442],"study_design_scores_gemma":[0.00003722451,0.00004989397,0.001216188,0.00001879585,0.000018132,0.0005275568,0.0001401561,0.8056639,0.004112127,0.1851219,0.003066272,0.00002787806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6865448,0.0007709829,0.2972533,0.0007675312,0.0001104237,0.00008748634,0.0004261829,0.0006515041,0.0133878],"genre_scores_gemma":[0.9753578,0.0001804439,0.02265376,0.00005942946,0.00001409248,0.00006217608,0.0001658329,0.00002876563,0.001477712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00147224,"threshold_uncertainty_score":0.006769061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009231937196577087,"score_gpt":0.2569307636936297,"score_spread":0.2476988264970526,"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."}}