{"id":"W1832581181","doi":"","title":"Population Aging in Canada: Software for Exploring the Implications for the Labour Force and the Productive Capacity of the Economy","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scope (computer science); Projections of population growth; Population ageing; Immigration; Educational attainment; Population; Range (aeronautics); Economics; Demographic change; Population projection; Fertility; Demographic economics; Regional science; Geography; Economic growth; Computer science; Sociology; Engineering; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008420728,0.0008762873,0.0004238139,0.001589519,0.001386515,0.001411644,0.001582021,0.0007539439,0.03228137],"category_scores_gemma":[0.004782944,0.0006181932,0.0009817437,0.002621485,0.0003933127,0.001140691,0.001242126,0.0007093043,0.004667071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01055309,"about_ca_system_score_gemma":0.01671615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8864084,"about_ca_topic_score_gemma":0.9238172,"domain_scores_codex":[0.9997213,0.00004954646,0.0000169817,0.00003084682,0.0001429217,0.00003839615],"domain_scores_gemma":[0.9987102,0.000440629,0.000047588,0.0001288874,0.0005839405,0.0000887167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002649016,0.00009463285,0.02587406,0.0006941752,0.0001461824,0.0003706475,0.0009671418,0.1965701,0.001145031,0.05183917,0.5400345,0.1819994],"study_design_scores_gemma":[0.0002126307,0.00003823472,0.01404016,0.0002039562,0.00007763497,0.0002137555,0.0003865277,0.596007,0.00175154,0.02442687,0.3624674,0.000174345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04473976,0.001054216,0.3930412,0.003876362,0.0003306768,0.0009249853,0.2406181,0.1679681,0.1474467],"genre_scores_gemma":[0.3053671,0.003585665,0.4954258,0.0007755658,0.0001047485,0.002029068,0.123505,0.01214055,0.05706657],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1135916,"threshold_uncertainty_score":0.228521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06641821774146038,"score_gpt":0.3260415558513702,"score_spread":0.2596233381099098,"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."}}