{"id":"W2101822023","doi":"10.1109/cec.2009.4983368","title":"Evolved art via control of cellular automata","year":2009,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cellular automaton; Computer science; Representation (politics); Simple (philosophy); Automaton; Fitness function; Fitness landscape; Feature (linguistics); String (physics); Function (biology); State (computer science); Artificial intelligence; Theoretical computer science; Mathematics; Machine learning; Algorithm; Biology; Evolutionary biology","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":[0.0001192468,0.00007915239,0.0001329173,0.00005025329,0.00004340746,0.00003591143,0.0006494033,0.00003434613,0.00007457204],"category_scores_gemma":[0.000005551637,0.00006916359,0.00006570976,0.0002406083,0.00002074762,0.0001770505,0.00004183263,0.00004323609,0.0003175981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008846661,"about_ca_system_score_gemma":0.00002491836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005766025,"about_ca_topic_score_gemma":8.493572e-7,"domain_scores_codex":[0.9992589,0.00001746901,0.0001978399,0.0002063795,0.0001685096,0.0001508862],"domain_scores_gemma":[0.9990559,0.00003050746,0.00006216397,0.0007429805,0.00004572279,0.00006270273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002554586,0.0002923468,0.00006905627,0.00000624902,0.00001500018,0.000006174139,0.000083584,0.00005315202,0.5645669,0.3746831,0.008895456,0.0513264],"study_design_scores_gemma":[0.0007124448,0.00009584468,0.00328847,0.000005943447,0.00001057359,0.00000776971,0.000003516923,0.851628,0.1097062,0.012088,0.02227578,0.0001775187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002089306,0.00005335406,0.9797764,0.001797903,0.00003861596,0.0001429423,0.000001556936,0.0003060977,0.01579376],"genre_scores_gemma":[0.9700124,0.000002009651,0.02841421,0.0004287357,0.00001662147,0.000005432901,0.000005097377,0.000002787207,0.001112705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9679231,"threshold_uncertainty_score":0.4082186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005945413344899192,"score_gpt":0.2087308846353487,"score_spread":0.2027854712904495,"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."}}