{"id":"W186113963","doi":"10.1007/978-3-540-75771-9_1","title":"An Introduction to Evolutionary Computation in Practice","year":2008,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Framing (construction); Software deployment; Computation; Evolutionary computation; Curriculum; Computer science; Perception; Broad spectrum; Management science; Data science; Engineering; Sociology; Artificial intelligence; Psychology; Software engineering; Pedagogy; Algorithm","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":[0.0004604488,0.0003886415,0.0004299581,0.0008103694,0.0002520502,0.00004889338,0.0007970909,0.000172689,0.00001412305],"category_scores_gemma":[0.0002203602,0.0004521638,0.00007743822,0.00060838,0.0002723378,0.0009533772,0.0003688941,0.0005507909,0.0002436295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008725501,"about_ca_system_score_gemma":0.000280509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002971434,"about_ca_topic_score_gemma":0.00004029856,"domain_scores_codex":[0.9967613,0.00009725964,0.0009251541,0.001186077,0.0007099595,0.0003202307],"domain_scores_gemma":[0.9972538,0.0008510299,0.0002993143,0.0004915624,0.0009903339,0.0001139714],"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":[0.00001189065,0.0001281586,0.000008352218,0.00001349794,0.00003196419,0.00004309884,0.001262099,0.5806781,6.715129e-7,0.396069,0.006406575,0.01534663],"study_design_scores_gemma":[0.0001717544,0.0003517342,0.0009037956,0.0002189298,0.00001673321,0.0003574582,0.000493008,0.49155,0.000005098124,0.4116167,0.09341738,0.0008973678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002702216,0.002972393,0.9665748,0.01301709,0.001044468,0.0008143791,0.00002228236,0.0001657038,0.01536179],"genre_scores_gemma":[0.03090789,0.002763655,0.9551743,0.001355431,0.001475709,0.0002745092,0.0002645776,0.00006277408,0.007721157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08912806,"threshold_uncertainty_score":0.999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640269993333057,"score_gpt":0.3703211627895167,"score_spread":0.306294163456211,"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."}}