{"id":"W2239701750","doi":"","title":"Economic Security in an Aging Canadian Population","year":2010,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Social security; Pension; Baby boom; Poverty; Old Age Security; Population ageing; Government (linguistics); Boom; Population; Standard of living; Health care; Economic growth; Economics; Development economics; Demographic economics; Political science; Finance; Birth rate; Sociology; Demography; Engineering","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":[0.0002145784,0.00007304154,0.00008983454,0.0003540223,0.0005644322,0.00004931862,0.0001950627,0.00008976836,0.0002467661],"category_scores_gemma":[0.00001957906,0.00009472406,0.00002988775,0.0002342588,0.00007600592,0.0005791961,0.00001726717,0.0001586159,0.00002885133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022597,"about_ca_system_score_gemma":0.0002175784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414061,"about_ca_topic_score_gemma":0.9999848,"domain_scores_codex":[0.9993176,0.00008317421,0.00007512413,0.0001910988,0.00007858143,0.0002543485],"domain_scores_gemma":[0.9995922,0.00002360166,0.00003998841,0.0001214201,0.00003109055,0.0001917251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002207943,0.000009201856,0.9757082,0.000001462888,0.000003509328,0.00001416687,0.007828687,0.00001853608,3.760645e-7,0.01451679,0.001545604,0.0003511932],"study_design_scores_gemma":[0.0003159712,0.00001139016,0.6152079,0.000006733005,0.00001322809,9.84673e-10,0.03194911,0.0002042283,0.00001541836,0.00267818,0.3493548,0.0002430816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835748,0.000009247934,0.000003844702,0.0004919342,0.000359373,0.00009611694,0.0000107279,0.00004230309,0.01541167],"genre_scores_gemma":[0.9987524,0.00003272389,0.00003164347,0.00005135105,0.0001936998,2.511905e-7,0.00001980186,0.000004950632,0.0009131653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3605004,"threshold_uncertainty_score":0.4341213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009375595942286059,"score_gpt":0.2322353512124792,"score_spread":0.2228597552701931,"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."}}