{"id":"W2522846443","doi":"10.1017/asb.2016.20","title":"HOW ACCURATELY DOES 70% FINAL EMPLOYMENT EARNINGS REPLACEMENT MEASURE RETIREMENT INCOME (IN)ADEQUACY? INTRODUCING THE LIVING STANDARDS REPLACEMENT RATE (LSRR)","year":2016,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Dalhousie University; University of Prince Edward Island","funders":"Rotman School of Management, University of Toronto; Dalhousie University; Towson University; University of Toronto; Society of Actuaries","keywords":"Earnings; Standard of living; Economics; Population; Retirement age; Demographic economics; Labour economics; Actuarial science; Pension; Finance; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02761591,0.0004216112,0.0005031909,0.000367473,0.0004881816,0.0008524604,0.0009834081,0.00011817,0.002103447],"category_scores_gemma":[0.01519233,0.0002025208,0.0001910997,0.0006991104,0.0001829178,0.0002371908,0.0004588984,0.0003736507,0.0001888564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002032,"about_ca_system_score_gemma":0.000172322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607282,"about_ca_topic_score_gemma":0.000199613,"domain_scores_codex":[0.9911917,0.001447242,0.001449918,0.001425575,0.003667615,0.0008179228],"domain_scores_gemma":[0.9935511,0.003103059,0.0008712634,0.001418539,0.000879936,0.0001760868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004977284,0.0007023988,0.4059356,0.000124759,0.0003760323,0.00008963735,0.01533925,0.007635515,0.0189448,0.002535699,0.170259,0.37308],"study_design_scores_gemma":[0.006844047,0.002425792,0.1570673,0.004464208,0.0001731127,0.0000343379,0.01860126,0.006004998,0.006012962,0.004882203,0.7912902,0.002199552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548446,0.0002496791,0.03561376,0.1064455,0.0009759086,0.0008202936,0.00003212962,0.0001337674,0.0008843124],"genre_scores_gemma":[0.9869788,0.0001309922,0.0009763332,0.0004696794,0.0002302866,0.0001632163,0.000003400323,0.00003819992,0.01100913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6210312,"threshold_uncertainty_score":0.9988087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09428533221366701,"score_gpt":0.3417461778732872,"score_spread":0.2474608456596202,"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."}}