{"id":"W2170268103","doi":"10.1002/9781118445112.stat04581","title":"Dynamic Financial Modeling of an Insurance Enterprise","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Portfolio; Actuarial science; Business; Profit (economics); Asset (computer security); Scale (ratio); Process (computing); Finance; Computer science; Economics; Microeconomics","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":[0.0007435544,0.0005496927,0.0005055826,0.0008542471,0.0006199184,0.002424366,0.001084192,0.001821812,0.006078761],"category_scores_gemma":[0.001881518,0.0003516521,0.0006504575,0.0008156885,0.001069024,0.001773381,0.00133719,0.001033537,0.0006603713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718899,"about_ca_system_score_gemma":0.001460933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640912,"about_ca_topic_score_gemma":0.004707309,"domain_scores_codex":[0.9995017,0.0001508519,0.0000216513,0.0001133783,0.00014596,0.00006637599],"domain_scores_gemma":[0.9994054,0.0002434617,0.0001038399,0.00003933926,0.0001119682,0.00009591207],"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":[0.00002229276,0.00003269251,0.001086173,0.00001903563,0.0000177893,0.0001846059,0.0001210107,0.7970666,0.0006944897,0.1954236,0.001407034,0.003924591],"study_design_scores_gemma":[0.000007662486,0.00000948975,0.0002288566,0.000007756455,0.000005531655,0.00003716664,0.0000271101,0.9671677,0.00006406343,0.0297553,0.002681668,0.000007657834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1949021,0.001466904,0.6393304,0.005481169,0.0001649127,0.0001026631,0.001674213,0.0005006753,0.156377],"genre_scores_gemma":[0.9445381,0.0006912044,0.02026157,0.0001922496,0.00006596227,0.0001344586,0.0004757236,0.00007561831,0.03356508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01640912,"threshold_uncertainty_score":0.03262722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680748330932917,"score_gpt":0.2595911686922222,"score_spread":0.232783685382893,"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."}}