{"id":"W3124463684","doi":"","title":"Comparing Retirement Income Systems Through an Index","year":2010,"lang":"en","type":"article","venue":"Rotman International Journal of Pension Management","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Pension system; Quality (philosophy); Pension; Value (mathematics); Demographic economics; Actuarial science; Labour economics; Business; Finance; Statistics; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002533683,0.000286351,0.0002914606,0.008520974,0.0005986796,0.002043882,0.0004983715,0.0003167698,0.006349494],"category_scores_gemma":[0.01533753,0.00009324654,0.000379344,0.007294231,0.0004112057,0.002544791,0.002299768,0.0004013603,0.001101715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186448,"about_ca_system_score_gemma":0.0008495071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008313196,"about_ca_topic_score_gemma":0.006895046,"domain_scores_codex":[0.9979237,0.0005191002,0.0002707951,0.0001626827,0.0009057487,0.0002178693],"domain_scores_gemma":[0.9934503,0.001411106,0.001408778,0.0006013688,0.002568722,0.00055972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004711779,0.0001824416,0.8465434,0.0001575908,0.000253245,0.00005941109,0.00360811,0.001709356,0.0005424036,0.01587143,0.01213649,0.1184648],"study_design_scores_gemma":[0.00002516683,0.0003126055,0.9671054,0.00006998986,0.00005911058,0.00006668646,0.00449096,0.002668125,0.0005304845,0.004331466,0.02030997,0.00003004054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918083,0.0003984315,0.003951899,0.0005336499,0.00007415812,0.0001994189,0.008234807,0.0001557848,0.06836877],"genre_scores_gemma":[0.986909,0.0001605416,0.003221437,0.00003799585,0.00002625896,0.0001201264,0.005708664,0.00001913385,0.003796876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008520974,"threshold_uncertainty_score":0.02124119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327689280456039,"score_gpt":0.2731185284001842,"score_spread":0.2498416355956239,"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."}}