{"id":"W2151238122","doi":"10.1023/a:1012771025575","title":"A Taxonomy of Global Optimization Methods Based on Response Surfaces","year":2001,"lang":"en","type":"article","venue":"Journal of Global Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":2137,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Waterloo; RAND Corporation","keywords":"Mathematics; Simple (philosophy); Mathematical optimization; Theme (computing); Management science; Algorithm; Computer science; Epistemology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003971481,0.002490816,0.003734622,0.004114278,0.0008155482,0.003779744,0.003399676,0.002830544,0.003883595],"category_scores_gemma":[0.006563186,0.001294294,0.003430786,0.005477048,0.001711917,0.00363385,0.002638254,0.004267405,0.00261039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656382,"about_ca_system_score_gemma":0.0009384616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007798282,"about_ca_topic_score_gemma":0.0007620844,"domain_scores_codex":[0.996443,0.001035623,0.0003063528,0.0004419262,0.001649224,0.000123857],"domain_scores_gemma":[0.997472,0.001154054,0.0001810689,0.0005317055,0.0005969719,0.00006422179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007366251,0.0001465707,0.0008011771,0.001856667,0.0002539444,0.0001034122,0.0002619162,0.1600963,0.006364935,0.3313521,0.008934222,0.4897552],"study_design_scores_gemma":[0.00004368959,0.0002894021,0.0006460665,0.0005405967,0.00009939956,0.0003339548,0.0001045391,0.6537436,0.004136764,0.2619186,0.07798925,0.000154031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008097886,0.006943572,0.9875563,0.0002714535,0.0001202545,0.00007762358,0.00006073014,0.0003822264,0.003778079],"genre_scores_gemma":[0.03964475,0.01985271,0.9335833,0.0003259618,0.0004452827,0.0006387456,0.0004034975,0.0005739384,0.004531765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004114278,"threshold_uncertainty_score":0.02100348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457143740247184,"score_gpt":0.3308629553278328,"score_spread":0.3062915179253609,"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."}}