{"id":"W2168766289","doi":"10.25088/complexsystems.15.1.41","title":"Point Mutations and Transitions Between Cellular Automata Attractor Basins","year":2004,"lang":"en","type":"article","venue":"Complex Systems","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Santa Fe Institute; Natural Sciences and Engineering Research Council of Canada; Athabasca University","keywords":"Attractor; Cellular automaton; Automaton; Computer science; Point mutation; Point (geometry); Statistical physics; Theoretical computer science; Mutation; Mathematics; Biology; Artificial intelligence; Physics; Genetics; Mathematical analysis; Geometry; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003033919,0.0002325553,0.0003483071,0.0010126,0.0008277242,0.001265892,0.0003986531,0.0004918058,0.002624929],"category_scores_gemma":[0.003528651,0.0002574162,0.0003556528,0.0004621659,0.001398993,0.001147928,0.0009760304,0.0005493708,0.0002367318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006341466,"about_ca_system_score_gemma":0.0003797837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008965685,"about_ca_topic_score_gemma":0.0006179614,"domain_scores_codex":[0.9996214,0.0001175454,0.00002317645,0.00006984446,0.000112871,0.00005522633],"domain_scores_gemma":[0.9989593,0.0005460244,0.0001797818,0.00008496373,0.0001249667,0.0001049783],"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":[0.0001373424,0.00005706161,0.002127005,0.00005989696,0.00004380217,0.0005967128,0.0008509431,0.1208873,0.03407766,0.8156537,0.0008541486,0.0246543],"study_design_scores_gemma":[0.00004735543,0.0000847144,0.00158255,0.00001862348,0.00001768632,0.0002732555,0.0002216151,0.3526967,0.007252346,0.6350119,0.002758389,0.00003475637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8388824,0.0003555021,0.1460281,0.0002811814,0.00004208252,0.00006329981,0.00008378668,0.0003547521,0.01390896],"genre_scores_gemma":[0.9903716,0.00009190693,0.008121266,0.00002001787,0.000009950439,0.00004332938,0.00003174462,0.00002543365,0.001284902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002624929,"threshold_uncertainty_score":0.008781254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411930616590027,"score_gpt":0.2556001408228556,"score_spread":0.214407079163853,"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."}}