{"id":"W2763920787","doi":"10.1007/s10479-015-2019-x","title":"Simulation optimization: a review of algorithms and applications","year":2015,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":444,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"Dow Chemical Company","keywords":"Theory of computation; Homogeneous; Function (biology); Subject (documents); Algebraic number; Optimization problem","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":[],"consensus_categories":[],"category_scores_codex":[0.006266309,0.00007174365,0.0002323484,0.000432234,0.0001822892,0.00007842895,0.0004012497,0.00005690329,0.0002517111],"category_scores_gemma":[0.004992579,0.00005880271,0.00005389173,0.002281118,0.0002480832,0.000344256,0.0001402561,0.0001101606,0.00002954193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000102978,"about_ca_system_score_gemma":0.0002217512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000543384,"about_ca_topic_score_gemma":0.000005241405,"domain_scores_codex":[0.9970082,0.0003096731,0.0008141014,0.0002848213,0.001440417,0.0001428071],"domain_scores_gemma":[0.9892685,0.001180985,0.0001031876,0.0006844275,0.008614651,0.0001482386],"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":[0.000007417801,0.0001415264,0.0002055463,0.0001030126,0.000009851748,1.340051e-7,0.0001822315,0.9111582,0.00004955588,0.03126798,0.007636281,0.04923827],"study_design_scores_gemma":[0.0001763271,0.0001324584,0.0002255361,0.0002585337,0.000006241185,0.000001501061,0.0003499668,0.9111502,0.001207842,0.01166861,0.07471868,0.000104116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001509133,0.009506396,0.9673964,0.009756688,0.00001991156,0.001916004,0.00008689084,0.00003927583,0.009769268],"genre_scores_gemma":[0.9258162,0.007818862,0.0630576,0.0005798312,0.000127892,0.0006040619,0.0000851935,0.00001970538,0.001890601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9243071,"threshold_uncertainty_score":0.5976944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7149842999777986,"score_gpt":0.6440607833342126,"score_spread":0.07092351664358598,"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."}}