{"id":"W2131385279","doi":"10.1111/j.1475-4991.2011.00437.x","title":"PORTFOLIO ALLOCATION IN THE FACE OF A MEANS‐TESTED PUBLIC PENSION","year":2011,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for International Peace and Security; York University","funders":"","keywords":"Incentive; Asset (computer security); Pension; Portfolio; Asset allocation; Economics; Sample (material); Health and Retirement Study; Actuarial science; Pension plan; Labour economics; Demographic economics; Finance; Microeconomics","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":[0.001769781,0.00009788234,0.0003590238,0.0003841886,0.0002345315,0.0009663298,0.0003299926,0.0004287061,0.002640294],"category_scores_gemma":[0.0110154,0.0001512188,0.0001618769,0.0004206532,0.0002711045,0.0007058151,0.000602398,0.0003489434,0.0003241616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006018601,"about_ca_system_score_gemma":0.0006405404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005178406,"about_ca_topic_score_gemma":0.009594824,"domain_scores_codex":[0.9993445,0.0003530079,0.00003376983,0.00006695985,0.0001015713,0.0001001489],"domain_scores_gemma":[0.9973326,0.0009953451,0.001127413,0.0002096897,0.0002118537,0.0001230473],"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":[0.0005715063,0.0003875989,0.7259575,0.0001255996,0.0002114082,0.00060054,0.0018573,0.01704274,0.00379718,0.02229072,0.00164671,0.2255113],"study_design_scores_gemma":[0.00003001955,0.000562749,0.922894,0.00006322766,0.00007672614,0.0002861227,0.001701396,0.03055343,0.001625597,0.03681552,0.005362714,0.00002856304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943783,0.000308271,0.001988933,0.0004301594,0.000007926024,0.00001498956,0.00009558045,0.000008919325,0.002766977],"genre_scores_gemma":[0.9974413,0.0001809097,0.0008685494,0.00004117149,0.000008539294,0.000009014837,0.00005712215,0.000001328228,0.001392037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005178406,"threshold_uncertainty_score":0.01029652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03837405896809203,"score_gpt":0.2638286268448976,"score_spread":0.2254545678768055,"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."}}