{"id":"W2440939427","doi":"","title":"Genetic Algorithm for systems with 2D genotype","year":2001,"lang":"en","type":"article","venue":"Genetic and Evolutionary Computation Conference","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cellular automaton; Linkage (software); Genetic algorithm; Algorithm; Computer science; Automaton; Theoretical computer science; Genetics; Biology; Machine learning; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.00005424116,0.0001324437,0.0001273658,0.00007092157,0.0002630544,0.000149722,0.0002506074,0.00004641316,0.000007283957],"category_scores_gemma":[0.000003237752,0.000122656,0.00002326053,0.0002323504,0.00007041574,0.000129632,0.00006756918,0.00004626747,0.00002581125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446444,"about_ca_system_score_gemma":0.0001465207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003770062,"about_ca_topic_score_gemma":0.000003025974,"domain_scores_codex":[0.9989837,0.00003185434,0.0002025592,0.0003925059,0.0001755318,0.0002138016],"domain_scores_gemma":[0.999273,0.00007109875,0.00008240045,0.0002265924,0.0002451683,0.0001017611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001359907,0.0001223,0.002339661,0.00005287304,0.00005305719,0.0000190964,0.000405528,0.05214509,0.0002604059,0.02919623,0.001767414,0.9136248],"study_design_scores_gemma":[0.0003446203,0.000115492,0.06625418,0.00001380695,0.00001269537,0.0002461283,0.00003313571,0.9218659,0.000005388371,0.004798381,0.006139662,0.0001705844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01756569,0.001217613,0.979917,0.0002919345,0.0001227646,0.0004617967,0.00001114977,0.0001324346,0.0002796165],"genre_scores_gemma":[0.5551688,0.0000927366,0.4442724,0.00005200637,0.0000640029,0.0001030152,0.00002240589,0.000006990431,0.0002176119],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9134542,"threshold_uncertainty_score":0.5001765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782257204822772,"score_gpt":0.229687988633585,"score_spread":0.2118654165853573,"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."}}