{"id":"W2600394393","doi":"10.1145/3129130","title":"Green Simulation","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Estimator; Stochastic simulation; Computer science; Weighting; Convergence (economics); Simulation modeling; Kriging; Mathematical optimization; Mean squared error; Applied mathematics; Mathematics; Statistics; Machine learning","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":[0.0001039966,0.000102959,0.0001502974,0.00009763144,0.0007837115,0.0001490761,0.0002096162,0.00007675207,0.00001062941],"category_scores_gemma":[0.00002213842,0.000122537,0.00005138008,0.00004744183,0.00002509706,0.0002827306,0.0000117414,0.00009911571,0.00006081096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002052976,"about_ca_system_score_gemma":0.000005975302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002256735,"about_ca_topic_score_gemma":0.0000103492,"domain_scores_codex":[0.9992684,0.000001963123,0.0002695145,0.0003069847,0.00003234464,0.0001208336],"domain_scores_gemma":[0.9991623,0.00006304534,0.0001451291,0.0005363083,0.00004680755,0.00004636954],"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":[0.00001021027,0.00003004678,0.00006385137,0.000006526769,0.00000912736,1.305157e-7,0.0001178047,0.9076537,4.440329e-7,0.02832971,3.075239e-7,0.06377809],"study_design_scores_gemma":[0.0002305602,0.00003177001,0.00088724,0.000009677227,0.000005034339,3.425124e-7,0.000002781209,0.7491174,0.000001075751,0.2494436,0.0001665598,0.0001039457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01615866,0.00006687897,0.9826439,0.0004677939,0.000180241,0.0001298314,0.0000243951,0.00005442334,0.0002738554],"genre_scores_gemma":[0.9857433,0.00001343151,0.01389584,0.0001187444,0.0001385335,0.00001730378,0.000005609807,0.0000131928,0.00005407313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695846,"threshold_uncertainty_score":0.6027755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06756534662439492,"score_gpt":0.2738244171083207,"score_spread":0.2062590704839258,"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."}}