{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002054126,0.0003033027,0.0003677317,0.0002200647,0.0003658587,0.0003384678,0.00410881,0.0002520423,0.00001451166],"category_scores_gemma":[0.0005135008,0.0002692737,0.0002032865,0.0006504802,0.0003186981,0.0001362312,0.002642668,0.000641044,0.00001197444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009899744,"about_ca_system_score_gemma":0.0003740157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759816,"about_ca_topic_score_gemma":0.002220331,"domain_scores_codex":[0.9949315,0.002700324,0.0006990493,0.0007643382,0.0005342941,0.0003705228],"domain_scores_gemma":[0.9931133,0.001396098,0.0006135295,0.004036787,0.0007240095,0.0001162566],"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":[0.00001890452,0.001308599,0.002995756,0.0004014081,0.0002001733,0.00003827313,0.02811505,0.001686633,0.08254989,0.5064728,0.002367172,0.3738454],"study_design_scores_gemma":[0.001104547,9.869651e-7,0.01235585,0.001071573,0.00003555253,0.00002281467,0.00009768421,0.5762277,0.3583645,0.0241277,0.02565105,0.0009400768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1832427,0.001046057,0.8009508,0.007757755,0.0003129238,0.000731574,0.0000825642,0.0002793159,0.005596314],"genre_scores_gemma":[0.9510385,0.0008479836,0.04703312,0.00003298434,0.00001455828,0.00004275341,0.000212014,0.00002666712,0.0007514687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7677957,"threshold_uncertainty_score":0.9999759,"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."}}