{"id":"W2057704896","doi":"10.1111/j.1475-4991.2008.00279.x","title":"DOES POPULATION AGEING PROMOTE FASTER ECONOMIC GROWTH?","year":2008,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Per capita; Economics; Population ageing; Demographic economics; Population; Ageing; Gross domestic product; Demographic change; Demography; Population growth; Economic growth; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007069768,0.0001233881,0.0006050896,0.0001031424,0.0000934196,0.000009173277,0.0001037405,0.00004764706,0.0001513674],"category_scores_gemma":[0.00006491666,0.00009953228,0.00009144377,0.00006568336,0.00004500711,0.0002873683,0.00004536578,0.00009039859,0.0001259804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006055399,"about_ca_system_score_gemma":0.00002051352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006651761,"about_ca_topic_score_gemma":0.00002560004,"domain_scores_codex":[0.9987122,0.00002431753,0.0007478488,0.0003202506,0.00001625417,0.0001791458],"domain_scores_gemma":[0.999118,0.00002110558,0.0005204873,0.0002468046,0.00001437233,0.00007923129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005554846,0.00002555931,0.9578258,0.006059856,0.00002596937,0.000001959728,0.0001146172,5.057179e-7,0.000002821635,0.03019899,0.0002697672,0.005468622],"study_design_scores_gemma":[0.0003908804,0.00009881127,0.9476223,0.001463684,0.00001122657,0.00002830812,0.000005244097,0.0001294326,0.00006786069,0.02744105,0.02239855,0.0003426638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389089,0.05417009,0.00008289395,0.001420678,0.0005092506,0.0003695387,0.00007079716,0.00001968661,0.004448171],"genre_scores_gemma":[0.8652372,0.1337134,0.0003269823,0.0003189578,0.000127885,0.00000938102,0.00001486649,0.00001205717,0.0002392575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07954329,"threshold_uncertainty_score":0.4058809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171256048632051,"score_gpt":0.2357152867444939,"score_spread":0.2140027262581733,"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."}}