{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005231265,0.0002036292,0.0003161595,0.000150841,0.0002306303,0.00005896175,0.0001719827,0.0002677473,0.0005711775],"category_scores_gemma":[0.0005302636,0.0002227813,0.00003389202,0.0002438639,0.001347262,0.0001038373,0.00006394887,0.0001983903,0.00001553249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008652001,"about_ca_system_score_gemma":0.0001055157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004166022,"about_ca_topic_score_gemma":0.05857472,"domain_scores_codex":[0.9982846,0.000303142,0.0003167289,0.0003878474,0.0003977435,0.0003099289],"domain_scores_gemma":[0.9992064,0.000193966,0.0001673008,0.0002958784,0.00006322865,0.00007319742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006139444,0.0002798772,0.09904263,0.0009662946,0.00008486392,0.00006350213,0.01025435,0.001089187,6.66754e-8,0.652046,0.1956802,0.04043154],"study_design_scores_gemma":[0.0001613635,0.00003855252,0.007634988,0.0001361384,0.00002028348,2.947172e-7,0.0003259973,0.000270147,6.063063e-8,0.08107574,0.9100373,0.0002991231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006956781,0.00255609,0.01791764,0.0002441499,0.001580735,0.002642451,0.001527232,0.0004042675,0.9724318],"genre_scores_gemma":[0.05992873,0.0695573,0.2140218,0.0004415908,0.001373941,0.0003196737,0.0005791185,0.0005961558,0.6531817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7143571,"threshold_uncertainty_score":0.9586039,"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."}}