{"id":"W2100207899","doi":"10.2202/1944-2858.1018","title":"Ideas, Institutions, and Welfare Program Typologies: An Analysis of Pensions and Old Age Income Protection Policies in Sub‐Saharan Africa","year":2010,"lang":"en","type":"article","venue":"Poverty & Public Policy","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Austerity; Welfare; Social policy; Social security; Welfare state; Pension; Economics; Neglect; Old Age Security; Development economics; Social protection; Economic growth; Political science; Sociology; Politics; Market economy; Population; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00360737,0.0002364429,0.0002022492,0.005863081,0.00350401,0.00593623,0.0007353808,0.0007065678,0.002018339],"category_scores_gemma":[0.006031209,0.0001760935,0.0002455101,0.006892036,0.009773146,0.004658341,0.003418405,0.001059427,0.00007287601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01203685,"about_ca_system_score_gemma":0.004825893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00992945,"about_ca_topic_score_gemma":0.009031134,"domain_scores_codex":[0.9981112,0.001134254,0.00006550155,0.00008702791,0.0001769693,0.0004250356],"domain_scores_gemma":[0.9962777,0.001744122,0.001123112,0.0001589228,0.0003496776,0.0003463832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005108443,0.00008520711,0.05122505,0.00009709656,0.00001942424,0.0004704101,0.1298496,0.001809941,0.0002371639,0.7900885,0.0006618531,0.02540474],"study_design_scores_gemma":[0.00003354011,0.0001471719,0.1832622,0.001135548,0.00004917516,0.0004111434,0.5579445,0.004935789,0.0008828805,0.1585987,0.09254537,0.00005395579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394784,0.003298664,0.003795895,0.004473208,0.00003060298,0.00007916754,0.0001168881,0.00001715951,0.04871008],"genre_scores_gemma":[0.9979393,0.0008293045,0.00048923,0.00004562689,0.000007746557,0.00003607106,0.00002064961,0.00000401134,0.0006280193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01203685,"threshold_uncertainty_score":0.08733386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06087388109594485,"score_gpt":0.363453759201439,"score_spread":0.3025798781054941,"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."}}