{"id":"W2791029689","doi":"10.1007/s12062-018-9219-5","title":"Dynamics of Retirement Income Inequality in Canada, 1991-2011","year":2018,"lang":"en","type":"article","venue":"Journal of Population Ageing","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Microdata (statistics); Economic inequality; Inequality; Economics; Demographic economics; Poverty; Income distribution; Income inequality metrics; Pension; Social inequality; Census; Labour economics; Economic growth; Population; Sociology; Demography; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001914938,0.00006128228,0.0001933923,0.00009017676,0.0001151524,0.0000154537,0.0001569852,0.00003662842,0.000202948],"category_scores_gemma":[0.0003129575,0.00005678296,0.00005154809,0.000166675,0.00007271322,0.0001869198,0.00002598578,0.00009876367,0.000001272109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105522,"about_ca_system_score_gemma":0.0003045416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9529895,"about_ca_topic_score_gemma":0.9929527,"domain_scores_codex":[0.9980609,0.0002605121,0.0007587664,0.00007911618,0.0006739824,0.0001667566],"domain_scores_gemma":[0.9989701,0.00005457596,0.0005919622,0.0001052325,0.000194384,0.00008375943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001870415,0.00003532956,0.9921435,0.00002176647,0.000007723846,0.000004298905,0.00243817,0.00009001141,0.00002898101,0.002694525,0.00006380372,0.002453197],"study_design_scores_gemma":[0.0002053889,0.00005397909,0.9919845,0.00008385161,0.000008563856,2.95138e-7,0.002848349,0.0004627091,0.00002135684,0.004050659,0.0002173612,0.00006299804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996474,0.00001794746,0.00009875484,0.001291154,0.0005256379,0.00009758856,0.000002517835,0.000002905085,0.001489499],"genre_scores_gemma":[0.9994469,0.00001469987,0.0002382512,0.00005114413,0.00019903,5.768028e-7,0.000003696028,0.000004199464,0.00004149027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03996328,"threshold_uncertainty_score":0.5505868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388293086463616,"score_gpt":0.4035337210754303,"score_spread":0.2647044124290687,"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."}}