{"id":"W2282833795","doi":"","title":"Public Pension Statements in Selected Countries: A Comparison","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Business; Statement (logic); Public information; Accounting; Public economics; Actuarial science; Economics; Political science; Public administration; Finance; Law","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":[0.004978555,0.000373125,0.0004785136,0.01358448,0.0005266129,0.001596502,0.0004639432,0.0005730786,0.00658755],"category_scores_gemma":[0.02074711,0.0001702273,0.0006082805,0.01760355,0.000459038,0.001516553,0.001383528,0.0005046552,0.0008575509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192441,"about_ca_system_score_gemma":0.001381445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006821389,"about_ca_topic_score_gemma":0.006962744,"domain_scores_codex":[0.9955129,0.00150119,0.001033193,0.0003386866,0.001155579,0.0004585175],"domain_scores_gemma":[0.9702494,0.009508992,0.009061126,0.00145077,0.008935815,0.0007938648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003726648,0.0002734383,0.6484179,0.00363237,0.001104848,0.001194061,0.007584159,0.002603458,0.0007727153,0.01611222,0.03268134,0.2818969],"study_design_scores_gemma":[0.0001335837,0.0002857403,0.9071872,0.001381708,0.0002515157,0.0007608035,0.0104808,0.0003882841,0.0006384139,0.0007238974,0.07772827,0.0000399429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563811,0.01833343,0.0008271029,0.001785778,0.0004399957,0.0002125218,0.031523,0.0001776377,0.09031935],"genre_scores_gemma":[0.9663889,0.009401625,0.0008807494,0.0003109499,0.0001214826,0.0001445454,0.01988744,0.000063728,0.002800455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358448,"threshold_uncertainty_score":0.0263294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581718234072937,"score_gpt":0.427937327424994,"score_spread":0.2697655040177003,"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."}}