{"id":"W9227688","doi":"10.1161/01.str.28.7.1386","title":"Ageing Population and Immigration in Canada: An Analysis with a Regional CGE Overlapping Generations Model *","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Economics; Population; Baby boom; Population ageing; Welfare; Demographic economics; Per capita; Retirement age; Labour economics; Geography; Pension; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01050443,0.001905376,0.002176013,0.002025417,0.003348246,0.002694787,0.004140974,0.002420847,0.007351211],"category_scores_gemma":[0.01464566,0.001182174,0.005160977,0.002908195,0.001565782,0.0009636717,0.00263852,0.003612917,0.0007010835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01067417,"about_ca_system_score_gemma":0.01579233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9487398,"about_ca_topic_score_gemma":0.8797543,"domain_scores_codex":[0.9965127,0.001814252,0.0001292232,0.0004308657,0.0002083485,0.0009045241],"domain_scores_gemma":[0.9878117,0.005817047,0.00115347,0.001262892,0.001604759,0.002350081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004428486,0.0005995502,0.9160758,0.0001534069,0.005521823,0.001924988,0.001652507,0.04505224,0.0001793479,0.004734493,0.008447949,0.01122948],"study_design_scores_gemma":[0.001281989,0.0008346334,0.4566601,0.0003206926,0.006299708,0.0008166192,0.005428971,0.5202608,0.0001223417,0.002710809,0.005052774,0.0002106469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990115,0.001279777,0.001982284,0.001471885,0.0001154189,0.0002027349,0.003490313,0.00006775611,0.001274683],"genre_scores_gemma":[0.9906163,0.0009556951,0.001838141,0.0002217321,0.00005495047,0.0001524392,0.003086827,0.00004741556,0.003026528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05126023,"threshold_uncertainty_score":0.1031242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105057484596571,"score_gpt":0.2561743018470665,"score_spread":0.2351237270011008,"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."}}