{"id":"W2123092006","doi":"10.1007/978-3-540-78671-9_16","title":"A Comparison of Cartesian Genetic Programming and Linear Genetic Programming","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Verafin (Canada); Memorial University of Newfoundland","funders":"","keywords":"Genetic programming; Computer science; Directed acyclic graph; Graph; Linear programming; Implementation; Directed graph; Symbolic regression; Genetic algorithm; Theoretical computer science; Cartesian coordinate system; Benchmark (surveying); Algorithm; Artificial intelligence; Programming language; Mathematics; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000221774,0.0003981602,0.0005389819,0.0004591794,0.0003486315,0.0001776731,0.001638758,0.0002226188,0.000003114261],"category_scores_gemma":[0.00001953934,0.0003869025,0.00009810592,0.0006349919,0.001031514,0.0002240296,0.0008121061,0.000494678,0.000006159526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009795799,"about_ca_system_score_gemma":0.0003770627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003437378,"about_ca_topic_score_gemma":0.00003785136,"domain_scores_codex":[0.9968873,0.00002439917,0.0006498196,0.00118985,0.0007105724,0.0005380961],"domain_scores_gemma":[0.9980835,0.0001661852,0.0003571206,0.0009457447,0.0002606089,0.0001868446],"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":[0.00000114903,0.00006757076,0.0009798927,0.00004872626,0.000008707992,0.00002522464,0.001438131,0.01006074,0.00005476417,0.001553891,0.000006954881,0.9857543],"study_design_scores_gemma":[0.0002315686,0.0003618636,0.003525718,0.0002755319,0.00001593555,0.0002638331,0.000001039872,0.9806498,0.0003573294,0.008710541,0.004990321,0.0006165214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001091707,0.002852232,0.9945948,0.0003051124,0.000233317,0.000641532,0.000002785951,0.0001081791,0.0001703418],"genre_scores_gemma":[0.1679022,0.00009947169,0.831624,0.00006756892,0.000202895,0.00002812929,0.000003033909,0.00002102376,0.00005174551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9851377,"threshold_uncertainty_score":0.9998583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144646033196938,"score_gpt":0.2759214630943454,"score_spread":0.254475002762376,"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."}}