{"id":"W4312173564","doi":"10.3390/jrfm16010006","title":"The Declining Effect of Insurance on Life Expectancy","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Liberian dollar; Per capita; Economics; Life insurance; Actuarial science; Demographic economics; Demography; Business; Finance; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004744418,0.0001327978,0.0003147433,0.0002222952,0.001623264,0.00005871239,0.0004709308,0.00003033109,0.0000193293],"category_scores_gemma":[0.0004340075,0.00009794245,0.000216519,0.0005158232,0.0002113304,0.000107528,0.0001715163,0.0003623865,0.000001800972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006852564,"about_ca_system_score_gemma":0.00004562657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001492205,"about_ca_topic_score_gemma":0.0001267983,"domain_scores_codex":[0.997298,0.0007146539,0.0005728835,0.0001621115,0.0009671652,0.0002851976],"domain_scores_gemma":[0.9984093,0.0004517116,0.0007819855,0.0001958182,0.00007404378,0.00008708044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001025061,0.0001814076,0.4100263,0.00006566139,0.0001257549,0.0000954944,0.006109757,0.0005905143,0.00000165722,0.07052138,0.003457921,0.5077991],"study_design_scores_gemma":[0.001376729,0.001036293,0.6306676,0.00006166127,0.000122713,0.000001532482,0.004553317,0.0000101553,0.00001020334,0.004335897,0.3576572,0.0001666588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849358,0.003152287,0.0004964239,0.0002888094,0.001792033,0.000419282,0.00001127239,0.0000130271,0.00889104],"genre_scores_gemma":[0.9897982,0.009526125,0.000115693,0.0001311171,0.0002825236,0.00002774914,2.823255e-7,0.000009556228,0.0001087317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5076324,"threshold_uncertainty_score":0.9996765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007480643726935646,"score_gpt":0.2612391111380574,"score_spread":0.2537584674111217,"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."}}