{"id":"W4390489172","doi":"10.1109/ssci52147.2023.10371888","title":"What Drives Evolution of Self-Driving Automata?","year":2023,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crossover; Automaton; Mutation; Computer science; Population; Sequence (biology); Matching (statistics); Variety (cybernetics); Diversity (politics); Operator (biology); Cellular automaton; Finite-state machine; State (computer science); Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Statistics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318464,0.00006124127,0.00007157788,0.00002749633,0.00003671782,0.00001577031,0.0001040392,0.00007705593,0.00001086102],"category_scores_gemma":[0.00004182103,0.00004595355,0.00005403859,0.0001250724,0.00002648586,0.000003714545,0.0001558519,0.00002605146,0.00002585162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005710055,"about_ca_system_score_gemma":0.0000161707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003588752,"about_ca_topic_score_gemma":0.000004662759,"domain_scores_codex":[0.9994943,0.00002737795,0.000114572,0.0001646828,0.0000588219,0.0001402546],"domain_scores_gemma":[0.9997565,0.00001314849,0.00003722886,0.0001330011,0.00003257574,0.000027545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000514573,0.0000322716,0.01491387,0.00001338643,0.00002431798,0.000001121488,0.00002492761,0.00006029327,0.9777324,0.0007383923,0.00131649,0.005137399],"study_design_scores_gemma":[0.0007250284,0.0009232798,0.2801462,0.00009022705,0.00002542911,0.0000132357,0.001408031,0.01310433,0.668173,0.001260042,0.03362877,0.000502542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968123,0.0001419298,0.0009888834,0.00009736545,0.0001985342,0.00004990703,6.786382e-7,0.0001123205,0.001598104],"genre_scores_gemma":[0.9981027,0.0001870522,0.0008984371,0.00003548354,0.00009313782,0.000002011009,0.00002627415,0.000004567828,0.0006503177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3095594,"threshold_uncertainty_score":0.1873931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009241392596740278,"score_gpt":0.2495866296311791,"score_spread":0.2403452370344388,"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."}}