{"id":"W1550115444","doi":"10.1093/acprof:oso/9780199573349.001.0001","title":"The Future of Public Employee Retirement Systems","year":2009,"lang":"en","type":"book","venue":"","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Discretion; Public sector; Labour economics; Valuation (finance); Private sector; Employee benefits; Politics; Compensation (psychology); Loyalty; Civil servants; Business; Economics; Public relations; Political science; Marketing; Finance; Economic growth; Law; Economy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007656747,0.0003304612,0.0008506224,0.0002206013,0.0001883267,0.000183257,0.0006412732,0.0004654984,0.0001905249],"category_scores_gemma":[0.000007009663,0.0002707178,0.0002964296,0.0001284025,0.000113197,0.0001104424,0.00006834242,0.0003441715,0.0004200998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780597,"about_ca_system_score_gemma":0.0001456009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100412,"about_ca_topic_score_gemma":0.0001318683,"domain_scores_codex":[0.9977546,0.00002060527,0.001203592,0.0004834441,0.00009731991,0.0004404191],"domain_scores_gemma":[0.9978002,0.00005191909,0.001058396,0.0009074797,0.00009278007,0.00008918607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002617956,0.00001493903,0.0001581052,0.00005073204,0.00005214776,0.000002350466,0.00006339658,0.000001933262,1.387703e-7,0.7106229,0.2861769,0.002853891],"study_design_scores_gemma":[0.0002016141,0.00007934462,0.0004958131,0.00006105574,0.000008099063,0.000003021566,0.0000206869,0.00002752793,0.000001561963,0.01261046,0.9861718,0.0003190058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001845026,0.05361814,0.0001888581,0.0006988296,0.00197156,0.0004069508,0.000110059,0.000060944,0.9427602],"genre_scores_gemma":[0.007637599,0.01368695,0.00007865784,0.0002832264,0.001465737,0.00002321774,0.00005639005,0.00006521914,0.976703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6999949,"threshold_uncertainty_score":0.9999745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748375788990332,"score_gpt":0.2162026469834835,"score_spread":0.1787188890935802,"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."}}