{"id":"W2155400236","doi":"10.1109/coginf.2002.1039287","title":"System modeling and design using genetic programming","year":2003,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Genetic programming; Computer science; Nonlinear system; Chaotic; Series (stratigraphy); Algorithm; Noise (video); Path (computing); Code (set theory); Piecewise; Radar; Dynamical systems theory; Mathematical optimization; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202013,0.00110779,0.0008619944,0.0008556194,0.0003770011,0.00122567,0.001077795,0.001313711,0.002589958],"category_scores_gemma":[0.00230975,0.0004730839,0.001112956,0.000663938,0.0009900753,0.0006860848,0.0007722975,0.00112389,0.0005883659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008082203,"about_ca_system_score_gemma":0.001508119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003460773,"about_ca_topic_score_gemma":0.002910472,"domain_scores_codex":[0.9993907,0.0002491252,0.00003087688,0.0001105775,0.000175095,0.0000436211],"domain_scores_gemma":[0.9993537,0.0004241418,0.00006475403,0.00005149679,0.00008955926,0.00001620585],"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":[0.000008749713,0.00001405669,0.000193569,0.00007869036,0.00002953147,0.00004945514,0.00003571032,0.9568361,0.0008393158,0.02315116,0.0002672477,0.01849632],"study_design_scores_gemma":[0.00001049752,0.00002002796,0.00003794757,0.00001817946,0.00001105808,0.00001980898,0.00000914335,0.9818861,0.0004560428,0.01531121,0.002213624,0.000006229689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002062525,0.0001621924,0.9952526,0.0001241071,0.00001835825,0.00006345575,0.00002786577,0.0001485468,0.002140311],"genre_scores_gemma":[0.1567401,0.001176739,0.8369491,0.0001650842,0.00005134751,0.0009490479,0.0002103764,0.00009037829,0.003667839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003460773,"threshold_uncertainty_score":0.00866431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710755503514483,"score_gpt":0.2536576866607825,"score_spread":0.2065501316256377,"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."}}