{"id":"W162601966","doi":"","title":"STOCHASTIC ANALYSIS OF AN INSURANCE PORTFOLIO","year":2002,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Portfolio; Actuarial science; Interest rate; Economics; Insurance policy; Econometrics; Business; Financial economics; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006419424,0.0001091373,0.0002970863,0.0005414801,0.0002207439,0.00004326218,0.000372186,0.00006174333,0.003138304],"category_scores_gemma":[0.00005765791,0.0001058044,0.0002149671,0.002841686,0.0003114262,0.0002878594,0.00002978212,0.00006825002,0.00004085595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030977,"about_ca_system_score_gemma":0.00001280503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005336026,"about_ca_topic_score_gemma":0.01025799,"domain_scores_codex":[0.998293,0.0001438943,0.0003212513,0.0002771608,0.0006471388,0.0003174867],"domain_scores_gemma":[0.9991462,0.00004753056,0.0001525566,0.0004023598,0.0001294265,0.0001219697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001978078,0.001181431,0.7510026,0.00002771346,0.002351332,0.00002656039,0.01345613,0.009744581,0.00003662482,0.1727929,0.00310082,0.04625955],"study_design_scores_gemma":[0.0002218608,0.00005053912,0.9843066,0.000005902402,0.0005455498,1.412449e-7,0.002305593,0.007643744,0.00001173402,0.001036562,0.003602481,0.0002692378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7947854,0.0001331072,0.001545786,0.0001192638,0.0001652809,0.000207651,0.00001721163,0.0001052081,0.2029211],"genre_scores_gemma":[0.9968355,0.0001022719,0.0003780299,0.0001565374,0.00006059889,0.00001197939,0.000005239153,0.00000761932,0.00244228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2333041,"threshold_uncertainty_score":0.997773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960264496853029,"score_gpt":0.3043929267315743,"score_spread":0.274790281763044,"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."}}