{"id":"W2126914149","doi":"","title":"Human Capital, Asset Allocation, and Life Insurance","year":2008,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Bequest; Life insurance; Asset allocation; Human capital; Portfolio; Economics; Actuarial science; Asset (computer security); Basis risk; Economic capital; Financial economics; Microeconomics; Capital asset pricing model; 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":[0.002351892,0.000133913,0.0002277528,0.0003203913,0.001146762,0.0001082556,0.0004287653,0.0001242337,0.00007210818],"category_scores_gemma":[0.0003891253,0.0001560721,0.00006084289,0.0003085192,0.001350256,0.0003242926,0.0001347374,0.000354544,0.00001953723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508093,"about_ca_system_score_gemma":0.0002624175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824489,"about_ca_topic_score_gemma":0.008330156,"domain_scores_codex":[0.9977177,0.000380489,0.0003742911,0.0004826276,0.0003931138,0.0006517939],"domain_scores_gemma":[0.9989577,0.0001604109,0.00009118494,0.0004201867,0.0001315439,0.000238993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000128825,0.0001544211,0.9487154,0.00002965323,0.00004720865,0.00002742151,0.006335109,0.0001559865,0.00003509149,0.02758051,0.0006310037,0.01627534],"study_design_scores_gemma":[0.0003981274,0.00004482045,0.9426791,0.00001623992,0.000002155567,0.000001655948,0.003931434,0.00004737472,0.00001021914,0.001923924,0.05072456,0.0002203764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8595055,0.0001555729,7.112843e-7,0.000667787,0.0001263055,0.0004194557,0.000009807097,0.00004257875,0.1390723],"genre_scores_gemma":[0.9851975,0.01243627,0.000113291,0.0001872057,0.0001773954,0.00008710378,0.000007439114,0.0000204901,0.001773242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137299,"threshold_uncertainty_score":0.8820084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094150479409817,"score_gpt":0.3383741146606632,"score_spread":0.2974326098665651,"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."}}