{"id":"W4240927721","doi":"10.1002/9780470391341.ch21","title":"Simulation","year":2008,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":[0.001429029,0.0006880941,0.0006865679,0.001116093,0.0005762379,0.002568228,0.001948901,0.001315386,0.1256152],"category_scores_gemma":[0.007791559,0.0003895069,0.0009036547,0.001185068,0.0004471362,0.002181532,0.001780432,0.001192235,0.0450258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007870091,"about_ca_system_score_gemma":0.001269739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954097,"about_ca_topic_score_gemma":0.001651236,"domain_scores_codex":[0.9987682,0.0004048526,0.00008604123,0.0001469516,0.0005112285,0.00008269455],"domain_scores_gemma":[0.9975212,0.00115012,0.0000842169,0.000549683,0.0005870791,0.0001077231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001128626,0.0001456217,0.001283295,0.0003643178,0.00007333139,0.0001056139,0.0001423921,0.1421546,0.001098476,0.3623879,0.2596499,0.2324816],"study_design_scores_gemma":[0.00006843388,0.00004177136,0.0003572669,0.0001914554,0.00002601528,0.0001760046,0.00005283754,0.1868244,0.001384174,0.1491526,0.66169,0.00003509921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003930597,0.001914223,0.5346428,0.002559566,0.001465219,0.0005393241,0.006863581,0.01110919,0.4369755],"genre_scores_gemma":[0.1519049,0.006417834,0.442129,0.002657192,0.001086448,0.00190623,0.02308845,0.005439166,0.3653708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1256152,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420287239603292,"score_gpt":0.2993840300127583,"score_spread":0.2751811576167253,"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."}}