{"id":"W2070744509","doi":"10.1007/s10614-015-9485-8","title":"Economic Modeling Using Evolutionary Algorithms: The Influence of Mutation on the Premature Convergence Effect","year":2015,"lang":"en","type":"article","venue":"Computational Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Premature convergence; Convergence (economics); Mutation; Binary number; Robustness (evolution); Encoding (memory); Computer science; Algorithm; Population; Range (aeronautics); Mathematical optimization; Mathematics; Artificial intelligence; Biology; Genetics; Economics; Arithmetic","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":[0.0007871594,0.0001610203,0.0003438517,0.000118706,0.0001937599,0.00006537997,0.0003364289,0.00006435272,0.00007570542],"category_scores_gemma":[0.00009570719,0.0001287208,0.0001582194,0.00012943,0.0001025982,0.0002505229,0.00007797826,0.000127067,0.0002015724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018164,"about_ca_system_score_gemma":0.0001123457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005171815,"about_ca_topic_score_gemma":0.00002137807,"domain_scores_codex":[0.9987077,0.00005034732,0.0007250235,0.000309787,0.00004362833,0.0001635825],"domain_scores_gemma":[0.9986705,0.0003253561,0.0005415538,0.0003132628,0.00009082766,0.00005851403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001739482,0.00001028695,0.001937464,0.000007685324,0.00007791084,2.903478e-7,0.0001925974,0.8678446,4.970472e-7,0.1297274,0.0001080729,0.00007578026],"study_design_scores_gemma":[0.0002316046,0.00005575504,0.003124519,0.00001490574,0.00001209817,0.00001151671,0.000122433,0.924683,0.000004402669,0.07122131,0.0003857056,0.0001327009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835313,0.0004945099,0.01387383,0.0005718153,0.0003135614,0.0002873219,0.0001413805,0.00001552146,0.0007707502],"genre_scores_gemma":[0.9984906,0.00001550996,0.001108345,0.0001510273,0.0001289635,0.00001916519,0.00003191053,0.00001738288,0.00003709041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05850612,"threshold_uncertainty_score":0.5249081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367278048033039,"score_gpt":0.2363265681070671,"score_spread":0.1926537876267367,"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."}}