{"id":"W2009371048","doi":"10.1109/tevc.2013.2252852","title":"Guest Editorial: Special Issue on Understanding Complex Evolutionary Systems","year":2013,"lang":"en","type":"editorial","venue":"IEEE Transactions on Evolutionary Computation","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Evolutionary computation; Judgement; Evolutionary algorithm; Set (abstract data type); Simple (philosophy); Data science; Artificial intelligence; Selection (genetic algorithm); Quality (philosophy); Range (aeronautics); Management science; Theoretical computer science; Machine learning; Epistemology","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":[0.003007494,0.002635929,0.002208497,0.002612597,0.001992333,0.006325399,0.001924108,0.006306881,0.02525197],"category_scores_gemma":[0.0112682,0.0005975412,0.001972225,0.001052528,0.001492427,0.003576454,0.001313621,0.01043353,0.01362176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876094,"about_ca_system_score_gemma":0.001464722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005605879,"about_ca_topic_score_gemma":0.00154464,"domain_scores_codex":[0.997798,0.0002636218,0.0002023994,0.0003197676,0.001228674,0.00018747],"domain_scores_gemma":[0.9912417,0.002559168,0.000495414,0.0002437869,0.003978752,0.001481085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002123089,0.000009625443,0.00002555803,0.0001147428,0.000008767761,0.00007222808,0.00000985066,0.00003183886,0.00006718915,0.0004335068,0.9935997,0.005605759],"study_design_scores_gemma":[0.00002569978,0.00002658389,0.0002146465,0.0002449127,0.00002821024,0.0002745957,0.00003519305,0.0002345109,0.0001694984,0.001477381,0.9972571,0.00001176665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006279361,0.003783305,0.0003049579,0.02076528,0.9723552,0.00001626848,0.00004993955,0.00005471475,0.00260752],"genre_scores_gemma":[0.0005388047,0.003618876,0.0001433292,0.005700096,0.978525,0.00001559171,0.00004013323,0.00005423991,0.01136394],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02525197,"threshold_uncertainty_score":0.08447629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836222149676602,"score_gpt":0.2701499429882639,"score_spread":0.2417877214914979,"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."}}