{"id":"W2343780273","doi":"10.5506/aphyspolbsupp.9.13","title":"Rescalable, Replayable Maps Generated with Evolved Cellular Automata","year":2016,"lang":"en","type":"article","venue":"Acta Physica Polonica B Proceedings Supplement","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cellular automaton; Computer science; Biology; Computational biology; Evolutionary biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002819262,0.000366727,0.0003340358,0.0001210641,0.0003682453,0.0003186528,0.001694027,0.00007916807,0.0001428443],"category_scores_gemma":[0.000021555,0.000245957,0.00009441489,0.0008526595,0.000125164,0.001055262,0.0006484973,0.000145157,0.0002213767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178621,"about_ca_system_score_gemma":0.0001857627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006811655,"about_ca_topic_score_gemma":0.00000804281,"domain_scores_codex":[0.9970185,0.00001877132,0.000431522,0.001084038,0.0006143792,0.0008328109],"domain_scores_gemma":[0.9980456,0.00006373008,0.0002772752,0.001091712,0.0002691063,0.0002525674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001919936,0.0002305123,0.0002783851,0.00002451215,0.00006444997,0.000005477269,0.000159651,0.000001028833,0.3890861,0.05909771,0.5508541,0.0001789306],"study_design_scores_gemma":[0.001345941,0.000308317,0.0003708354,0.00008213901,0.0000366857,0.00001850375,0.00002888221,0.00352191,0.348521,0.0006111469,0.6446664,0.0004881807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2351991,0.00011422,0.01343275,0.7378106,0.000269628,0.002449349,0.0002653483,0.00290572,0.007553255],"genre_scores_gemma":[0.9705093,0.00003191119,0.02725273,0.0002273934,0.000138666,0.0003435588,0.00005506696,0.00004494632,0.001396424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7375832,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073902230694768,"score_gpt":0.2196031542027786,"score_spread":0.2088641318958309,"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."}}