{"id":"W3123738656","doi":"","title":"State pensions and the well-being of the elderly in the UK","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generosity; Pension; Demographic economics; Economics; Social security; Quarter (Canadian coin); Poverty; Welfare state; Labour economics; Economic growth; Political science","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":[0.0004200613,0.0001195171,0.0001656782,0.0009582278,0.0002672768,0.0007564097,0.0001359725,0.00028073,0.003362776],"category_scores_gemma":[0.002267296,0.00007637372,0.000257623,0.00161418,0.0002015311,0.000522677,0.0008885527,0.0004435384,0.0004006597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111728,"about_ca_system_score_gemma":0.0007020299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07500862,"about_ca_topic_score_gemma":0.130197,"domain_scores_codex":[0.9995971,0.00005450452,0.00007487906,0.00003790838,0.0001080917,0.0001275978],"domain_scores_gemma":[0.9983551,0.0001029698,0.000899008,0.00004875598,0.0003330104,0.000261163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002665229,0.00004875984,0.9223656,0.0002183463,0.00007395556,0.0003220882,0.004205597,0.0002832963,0.0005480453,0.0007558002,0.006398731,0.06451327],"study_design_scores_gemma":[0.000002251106,0.00002911913,0.9946733,0.00005744299,0.000005161165,0.0000536458,0.0005620681,0.00002830539,0.0000342686,0.00002751216,0.004522156,0.000004664916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809616,0.007066871,0.00006983044,0.002378853,0.00009172702,0.00001032985,0.003616738,0.000008019987,0.005796127],"genre_scores_gemma":[0.9911026,0.004219879,0.0000711761,0.00018853,0.00003997868,0.000008709536,0.001586856,0.000003038386,0.002779316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07500862,"threshold_uncertainty_score":0.1491441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594106161029276,"score_gpt":0.4201057129714937,"score_spread":0.374164651361201,"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."}}