{"id":"W2081706679","doi":"10.1109/cec.2012.6256126","title":"Single parent generalization of cellular automata rules","year":2012,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Generalization; Cellular automaton; Computer science; Crossover; Automaton; Set (abstract data type); Theoretical computer science; Population; Fidelity; Evolutionary computation; Mobile automaton; Evolutionary algorithm; Mathematics; Automata theory; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008748373,0.0003517829,0.0007473194,0.0003049376,0.0005500414,0.0006605362,0.001492842,0.0008188924,0.001785542],"category_scores_gemma":[0.00423035,0.0002375648,0.0007901204,0.0003281576,0.001019274,0.001230586,0.0009579915,0.001322683,0.0004597417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004687106,"about_ca_system_score_gemma":0.0004867509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109002,"about_ca_topic_score_gemma":0.001344982,"domain_scores_codex":[0.9993504,0.0001354706,0.00004856668,0.0001918144,0.0002252581,0.00004841897],"domain_scores_gemma":[0.9976094,0.0008042153,0.0002077386,0.001000127,0.0003027354,0.00007570616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001398853,0.0001519691,0.003863139,0.000259848,0.00009921613,0.001488744,0.001197997,0.4919009,0.09141541,0.1740384,0.003038118,0.2324064],"study_design_scores_gemma":[0.00002714984,0.000192052,0.0008673019,0.00002558131,0.00003702346,0.0008780725,0.00007077507,0.8930646,0.02436507,0.07101122,0.009421493,0.00003968823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867792,0.0004481592,0.8011884,0.0003168969,0.0001380353,0.0001538865,0.0001092619,0.00104847,0.009817647],"genre_scores_gemma":[0.7614338,0.0003680601,0.2330188,0.0001503932,0.00003966631,0.0001548469,0.0001142441,0.0001251469,0.004595042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001785542,"threshold_uncertainty_score":0.00597322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065431270632294,"score_gpt":0.2465405592330757,"score_spread":0.2158862465267527,"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."}}