{"id":"W2770536358","doi":"10.2139/ssrn.3124120","title":"Premature Deaths, Accidental Bequests and Fairness","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Accidental; Economics; Demographic economics; Actuarial 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007648218,0.0001272187,0.0004848038,0.001265441,0.002172888,0.002661151,0.0007205657,0.002546594,0.01081109],"category_scores_gemma":[0.06531006,0.0001772288,0.0003574053,0.001043508,0.004499268,0.002835307,0.002844089,0.002999628,0.0004080657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206178,"about_ca_system_score_gemma":0.002480208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005498041,"about_ca_topic_score_gemma":0.01013753,"domain_scores_codex":[0.9954455,0.002221656,0.0003500771,0.0004716747,0.0006022249,0.000908931],"domain_scores_gemma":[0.9722142,0.01150649,0.008348589,0.001645098,0.002486525,0.003799017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007634869,0.0004680389,0.4417332,0.000247702,0.0001904879,0.001031311,0.00684476,0.001724028,0.00009501553,0.39829,0.02218535,0.1264267],"study_design_scores_gemma":[0.00008735489,0.0003974845,0.2966418,0.0004463398,0.0001263812,0.001508505,0.01345978,0.002009916,0.0001742307,0.6500971,0.03496302,0.00008813789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530724,0.01024604,0.004370562,0.09782328,0.001888435,0.00006238867,0.0005655529,0.00002992251,0.1319415],"genre_scores_gemma":[0.9914445,0.000905634,0.0002156886,0.001827096,0.0005420265,0.00001144536,0.00004045235,0.000005549194,0.005007667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081109,"threshold_uncertainty_score":0.04044813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005236173012844765,"score_gpt":0.2192682355769334,"score_spread":0.2140320625640887,"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."}}