{"id":"W4315490316","doi":"10.1016/j.mathsocsci.2023.01.001","title":"Can a negative population growth rate sustain a positive economic growth rate in the long run?","year":2023,"lang":"en","type":"article","venue":"Mathematical Social Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Population growth; Endogenous growth theory; Human capital; Per capita; Population; Growth rate; Investment (military); Capital deepening; Per capita income; Capital accumulation; Demographic economics; Monetary economics; Capital formation; Economic growth; Demography; Financial capital; Mathematics","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":[0.004888179,0.0001644979,0.0003887488,0.0002285565,0.0005717021,0.0002587933,0.0004312074,0.00008460965,0.000168806],"category_scores_gemma":[0.0007811401,0.0001409139,0.000109386,0.0008085479,0.000348505,0.0004111645,0.00008467842,0.0001710677,0.0006382629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265472,"about_ca_system_score_gemma":0.00004986066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002537805,"about_ca_topic_score_gemma":0.0009140283,"domain_scores_codex":[0.9982314,0.0001809159,0.0005274845,0.0004961109,0.00005118308,0.0005129759],"domain_scores_gemma":[0.9988902,0.0006534635,0.0002675431,0.0001160752,0.0000195327,0.00005324265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000775664,0.00003038004,0.07348405,0.00002801138,0.00001176581,0.000004261879,0.005480252,0.00002014252,0.000002179508,0.9205807,0.0001985191,0.0001519524],"study_design_scores_gemma":[0.0001447256,0.00002593318,0.3767868,0.000005802412,0.000002616064,7.863006e-7,0.0008086618,0.001803846,0.00002233661,0.6202583,0.000008322592,0.0001318447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591447,0.00002239453,0.0001701271,0.02100835,0.0001608954,0.0004133468,0.00007664476,0.00004471916,0.01895887],"genre_scores_gemma":[0.9991503,0.00001072561,0.00005587418,0.0003065926,0.0002335533,0.00006026578,0.00001172484,0.00001101838,0.000159956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033028,"threshold_uncertainty_score":0.8203791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005157796497166,"score_gpt":0.266238313938099,"score_spread":0.2261867359731274,"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."}}