{"id":"W2165089079","doi":"10.1017/s0714980811000432","title":"Economic Security in an Aging Canadian Population","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pension; Poverty; Government (linguistics); Old Age Security; Population ageing; Standard of living; Economics; Population; Economic growth; Business; Public economics; Development economics; Economic policy; Labour economics; Finance; Birth rate; Market economy; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003461105,0.0005082121,0.0005416991,0.001085755,0.001524694,0.0004958627,0.0008330279,0.0003044382,0.004624394],"category_scores_gemma":[0.0001599392,0.0006371322,0.0002218923,0.0004990469,0.0004069233,0.0008876625,0.00002298099,0.0008679503,0.0001284092],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02336846,"about_ca_system_score_gemma":0.003959102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955351,"about_ca_topic_score_gemma":0.9999462,"domain_scores_codex":[0.9944905,0.001002561,0.001008084,0.0007645225,0.0001909119,0.002543401],"domain_scores_gemma":[0.9915652,0.00007482607,0.0003561361,0.0005431162,0.0001539999,0.007306692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000104633,0.0001074781,0.7686222,0.0001108764,0.00007956268,0.001458835,0.1315029,0.0008054883,0.000001456151,0.07492492,0.002619674,0.01975617],"study_design_scores_gemma":[0.0008469733,0.0003907319,0.5218787,0.001400414,0.0001155373,0.0001693936,0.02187978,0.001002821,0.000008868613,0.01339465,0.4375467,0.001365418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518213,0.001146471,0.000003400756,0.01710572,0.006985623,0.0005661427,0.0001451391,0.00001834096,0.02220785],"genre_scores_gemma":[0.9954081,0.0004502246,0.00007346067,0.001414167,0.001407619,0.00002776942,0.00005366625,0.00007153301,0.001093421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.434927,"threshold_uncertainty_score":0.9997752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07694558065894866,"score_gpt":0.3076308781435597,"score_spread":0.2306852974846111,"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."}}