{"id":"W3125648564","doi":"","title":"Inter-provincial Migration of Income Among Canada's Older Population: 1996-2001","year":2006,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relocation; Population; Demographic economics; Pension; Income distribution; Social security; Poverty; Distribution (mathematics); Economics; Transfer payment; Context (archaeology); Census; Investment (military); Geography; Labour economics; Economic growth; Welfare; Inequality; Demography; Finance; Political science; Sociology","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":[0.0008314668,0.0002972965,0.0004266656,0.002674259,0.002720142,0.001380213,0.001266238,0.0002889638,0.002511885],"category_scores_gemma":[0.00315822,0.0002032141,0.0004816084,0.008083913,0.0003139668,0.0003867808,0.00117628,0.0006751766,0.0003571303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05781171,"about_ca_system_score_gemma":0.04493231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985362,"about_ca_topic_score_gemma":0.9991921,"domain_scores_codex":[0.9992548,0.00002919701,0.00004343659,0.0000779706,0.0003375554,0.0002569939],"domain_scores_gemma":[0.9971918,0.00007996248,0.0002740127,0.00008376073,0.002028956,0.0003415289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002929305,0.00005464872,0.9220942,0.0002035862,0.0001023472,0.0002214403,0.00321691,0.001379115,0.0002414294,0.001049018,0.01864737,0.05249704],"study_design_scores_gemma":[0.000004463694,0.000007553348,0.9923339,0.00002832013,0.00001733139,0.00002718543,0.001249276,0.0004972744,0.00009952015,0.00002760761,0.005700184,0.000007353143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010758,0.002022153,0.0004957041,0.001436262,0.00007299763,0.0001387288,0.07971729,0.00009535125,0.01494574],"genre_scores_gemma":[0.9534304,0.001914587,0.0008324532,0.0001368738,0.00001597537,0.00005906066,0.02786716,0.00002471523,0.01571868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05781171,"threshold_uncertainty_score":0.4194552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243250023782987,"score_gpt":0.2846904250097965,"score_spread":0.2722579247719666,"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."}}