{"id":"W3517843","doi":"10.22215/etd/2008-08625","title":"Co-evolutionary automatically defined functions in genetic programming","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Genetic programming; Computer science; Artificial intelligence","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":[0.00132016,0.0003634164,0.0004278363,0.0006845542,0.0003939181,0.001116935,0.001353869,0.0009579044,0.002425512],"category_scores_gemma":[0.005558429,0.0003098876,0.0005042569,0.000836698,0.0010302,0.001163593,0.0009786274,0.001482054,0.0006759791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009400725,"about_ca_system_score_gemma":0.0007425733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002269423,"about_ca_topic_score_gemma":0.002818036,"domain_scores_codex":[0.9988814,0.0004873182,0.0000600361,0.0001478832,0.0003526455,0.00007070602],"domain_scores_gemma":[0.9982324,0.001171162,0.00006852602,0.0002380336,0.0002513488,0.0000385256],"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":[0.0001224078,0.0001564177,0.001330744,0.0001359107,0.00004869228,0.0001373817,0.0003299638,0.3257061,0.008994314,0.2819436,0.002081024,0.3790134],"study_design_scores_gemma":[0.00002112354,0.00004095065,0.0002245303,0.00003717642,0.00001529552,0.0001061136,0.00002745728,0.9392724,0.005664658,0.04750467,0.007073233,0.00001243899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01415756,0.0001742444,0.9808459,0.0001072645,0.00003739081,0.00003527409,0.0000125188,0.0003864215,0.004243477],"genre_scores_gemma":[0.2597874,0.0002600127,0.7307793,0.000138498,0.00004303353,0.0001871084,0.0001245846,0.0004479777,0.008232097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002425512,"threshold_uncertainty_score":0.008114159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212142630318976,"score_gpt":0.2577684959106173,"score_spread":0.2456470696074276,"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."}}