{"id":"W222990166","doi":"","title":"Pension System in Argentina","year":2011,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Capital (architecture); Pension system; Economics; State (computer science); Reversing; Labour economics; Development economics; Economic policy; Finance; Geography","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":[0.0008824269,0.0001687779,0.0002271651,0.001329642,0.001235456,0.001732516,0.0002988019,0.0007076306,0.003741218],"category_scores_gemma":[0.001440106,0.0001178117,0.0001324338,0.001343601,0.0006332681,0.0008025473,0.0007983077,0.0006337279,0.0004501894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004401552,"about_ca_system_score_gemma":0.001944999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04689999,"about_ca_topic_score_gemma":0.03442724,"domain_scores_codex":[0.9994674,0.0001310774,0.00003154383,0.00008312436,0.0001335354,0.0001531918],"domain_scores_gemma":[0.9996055,0.00003254932,0.0001156449,0.0000201714,0.0001566033,0.0000696292],"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":[0.0003763282,0.0001608266,0.08527227,0.001206105,0.00006364152,0.002383436,0.0110676,0.002323232,0.002552657,0.4282404,0.05239912,0.4139545],"study_design_scores_gemma":[0.00002922245,0.00009318636,0.2016585,0.0006257108,0.00002254375,0.001013972,0.001227039,0.000684483,0.0003771943,0.008046458,0.7861927,0.00002918802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4422213,0.1229426,0.001981179,0.02226021,0.001085443,0.0001175475,0.002380219,0.0001739789,0.4068376],"genre_scores_gemma":[0.9305804,0.0354961,0.001077449,0.0005074805,0.0005357193,0.00004891328,0.000857336,0.00002069861,0.03087588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04689999,"threshold_uncertainty_score":0.09325403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249959816409219,"score_gpt":0.2001624451019161,"score_spread":0.1751664634609942,"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."}}