{"id":"W34531100","doi":"","title":"The spatial structure of odometers in certain cellular automata","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cellular automaton; Odometer; Computer science; Automaton; Artificial intelligence; Theoretical computer science","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":[0.0002774918,0.0002200507,0.0003275253,0.0009624157,0.001005699,0.001526935,0.0005292799,0.0005999134,0.002740273],"category_scores_gemma":[0.00223643,0.0002822382,0.0004178872,0.0005773352,0.002002334,0.001174248,0.001006813,0.0005220817,0.0002381059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009877096,"about_ca_system_score_gemma":0.0004933719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912661,"about_ca_topic_score_gemma":0.001351542,"domain_scores_codex":[0.9995585,0.0001112423,0.00003060669,0.0001098261,0.000121517,0.00006824513],"domain_scores_gemma":[0.9984515,0.0004868066,0.000379494,0.0001485281,0.0003061655,0.0002276192],"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":[0.00006592677,0.00001527998,0.001660395,0.00004129973,0.00001209841,0.0001651796,0.0003398555,0.01884915,0.005815363,0.968745,0.0002649339,0.004025621],"study_design_scores_gemma":[0.00008344429,0.000100557,0.002059017,0.0000424227,0.00003070977,0.000327375,0.0003292905,0.1720454,0.007598566,0.810692,0.00663474,0.00005638842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573353,0.0003210134,0.1229718,0.0003159735,0.0000570269,0.00004695363,0.0002605059,0.0002336561,0.01845783],"genre_scores_gemma":[0.9867601,0.00006959998,0.01121681,0.00003870079,0.00001253053,0.00003377603,0.00008322056,0.00001757489,0.001767688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740273,"threshold_uncertainty_score":0.009167075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034892446121657,"score_gpt":0.2125632623855699,"score_spread":0.2022143379243534,"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."}}