{"id":"W4286707414","doi":"10.56573/gcistem.v1i.5","title":"Implications of Unisex Assumptions in the Analysis of Longevity for Insurance Portfolios in Indonesia","year":2022,"lang":"en","type":"article","venue":"GCISTEM Proceeding","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Longevity risk; Longevity; Actuarial science; Portfolio; Life insurance; Economics; Actuary; Population; Demography; Financial economics; Medicine; Sociology; Gerontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008201145,0.0003556966,0.0004321805,0.0009760653,0.0006882377,0.002176306,0.0008179324,0.0005126756,0.001900654],"category_scores_gemma":[0.01767211,0.0002329365,0.001245557,0.0008562971,0.001052101,0.002106865,0.001693622,0.001328373,0.0002245107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578324,"about_ca_system_score_gemma":0.00114256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008884043,"about_ca_topic_score_gemma":0.006446972,"domain_scores_codex":[0.9961898,0.001968581,0.0003217884,0.000480848,0.0007910397,0.0002479479],"domain_scores_gemma":[0.9932059,0.00399969,0.001165885,0.0007566114,0.0007016513,0.0001703097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005474315,0.0002731969,0.5069885,0.0002905948,0.0003690965,0.002448836,0.004763678,0.118737,0.001898391,0.2108058,0.004050132,0.1488274],"study_design_scores_gemma":[0.00003839279,0.0004197399,0.266119,0.0005781368,0.000232469,0.001834176,0.008157768,0.4927965,0.003836012,0.2112495,0.01459718,0.0001410832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593644,0.001260741,0.1156349,0.002502634,0.00018224,0.0001238531,0.0006909125,0.00007667311,0.02016365],"genre_scores_gemma":[0.9864929,0.0003278361,0.01151809,0.0001085062,0.00002294416,0.00004118091,0.0001801,0.00001251933,0.001296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008884043,"threshold_uncertainty_score":0.04337227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05253888639318946,"score_gpt":0.3545412682363084,"score_spread":0.302002381843119,"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."}}