{"id":"W7095243729","doi":"","title":"Retirement Incentives: Pension Wealth, Accrual and Implicit Tax,” Centro de Desenvolvimento e Planejamento Regional, (Cedeplar), Universidade Federal de Minas Gerais, Departamento de Demografia","year":2015,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accrual; Generosity; Pension; Social security; Incentive; Earnings","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002986399,0.000265114,0.0002088917,0.001643236,0.0003369492,0.001091352,0.0003871082,0.0005607452,0.001481917],"category_scores_gemma":[0.009206787,0.000199608,0.000443734,0.001488188,0.0005219755,0.000944409,0.0007478081,0.0006884538,0.0001747877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869652,"about_ca_system_score_gemma":0.001493306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863174,"about_ca_topic_score_gemma":0.0263626,"domain_scores_codex":[0.9993825,0.0003614285,0.00003228789,0.00004528923,0.0001042867,0.00007423457],"domain_scores_gemma":[0.9955655,0.002203714,0.001416029,0.0001245484,0.0005076034,0.0001827074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002611596,0.0001592076,0.7812496,0.0002432558,0.0002979682,0.0002651873,0.001345345,0.01443188,0.0003715166,0.0872074,0.01101117,0.1031562],"study_design_scores_gemma":[0.00002993686,0.0001785226,0.8624807,0.0005638513,0.0002910961,0.0003686469,0.001568407,0.06711249,0.001536253,0.03379406,0.03201056,0.00006550265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246426,0.02748143,0.01366486,0.01636183,0.0002064677,0.00007629882,0.001454383,0.00003514511,0.01607697],"genre_scores_gemma":[0.9895951,0.004596404,0.002630669,0.0001079583,0.00008387905,0.0000156838,0.0002760697,0.000006362863,0.0026878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01863174,"threshold_uncertainty_score":0.03704661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03928523801083921,"score_gpt":0.3008871051110459,"score_spread":0.2616018671002067,"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."}}