{"id":"W1568544595","doi":"10.1109/cec.2005.1554981","title":"The Estimation of Evolvability Genetic Algorithm","year":2005,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Evolvability; Genetic algorithm; Computer science; Fitness function; Estimation; Function (biology); Algorithm; Mathematical optimization; Artificial intelligence; Machine learning; Mathematics; Evolutionary biology; Biology; Engineering","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":[0.002476238,0.0007393482,0.0005851087,0.002204338,0.000324059,0.001134958,0.001020267,0.001007181,0.001032268],"category_scores_gemma":[0.02492061,0.000262802,0.0004713246,0.0009570714,0.001090818,0.001532098,0.0009215236,0.001032988,0.0001942196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008800959,"about_ca_system_score_gemma":0.0007025958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023341,"about_ca_topic_score_gemma":0.0005558644,"domain_scores_codex":[0.9978803,0.0007865855,0.000118265,0.0003497436,0.0007830528,0.00008200615],"domain_scores_gemma":[0.9921096,0.005171854,0.0005968453,0.0007175736,0.001305989,0.00009804228],"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":[0.0001620303,0.0000655537,0.0106308,0.0001528083,0.0001866046,0.0001412901,0.0001516436,0.6468843,0.007790644,0.0471154,0.0006702764,0.2860488],"study_design_scores_gemma":[0.00001986682,0.00008956527,0.002187948,0.0000405035,0.00003360357,0.0001811998,0.00002717472,0.9657625,0.005963517,0.02349388,0.002174774,0.00002545458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05078817,0.0004208019,0.943541,0.0002027282,0.00005574413,0.00007630991,0.00004052673,0.0003605033,0.004514229],"genre_scores_gemma":[0.6046103,0.0004003906,0.3926151,0.0001045123,0.00005748443,0.0001953437,0.0001446064,0.0001208407,0.001751347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002476238,"threshold_uncertainty_score":0.01309574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007716369297148556,"score_gpt":0.2433037717058949,"score_spread":0.2355874024087464,"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."}}