{"id":"W3123752650","doi":"","title":"Non-Monotonicity of Fertility in Human Capital Accumulation and Economic Growth","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Fertility; Economics; Human capital; Per capita; Investment (military); Total fertility rate; Population; Physical capital; Labour economics; Demographic economics; Econometrics; Monetary economics; Demography; Economic growth; Research methodology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002414813,0.0002570567,0.0004593416,0.0007630759,0.0003126668,0.001047887,0.0004195519,0.000474082,0.002923739],"category_scores_gemma":[0.02037903,0.0002867094,0.0005959478,0.0009439201,0.001691917,0.001148126,0.001052626,0.0008555117,0.0003545391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075404,"about_ca_system_score_gemma":0.001017316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004863391,"about_ca_topic_score_gemma":0.003205498,"domain_scores_codex":[0.9990708,0.0004229312,0.00004463861,0.0001620894,0.0001148708,0.0001845987],"domain_scores_gemma":[0.981936,0.01325731,0.002965133,0.0008547881,0.0006591733,0.0003275652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005139692,0.0001715972,0.7176887,0.0004449416,0.00043565,0.001473019,0.001755778,0.091069,0.006151087,0.1182574,0.001012042,0.06102692],"study_design_scores_gemma":[0.00006544834,0.0003862747,0.731528,0.0001735132,0.0002397243,0.002211284,0.001168931,0.100801,0.006602306,0.1497998,0.006927546,0.00009621118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669231,0.00190252,0.01915327,0.001229367,0.00001853765,0.00003230556,0.0003587693,0.0000646326,0.01031744],"genre_scores_gemma":[0.9961415,0.0008678057,0.001371637,0.00006575019,0.00001885575,0.00001912008,0.0001080834,0.000008557464,0.001398609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004863391,"threshold_uncertainty_score":0.01277089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0608181549901498,"score_gpt":0.3143502291341055,"score_spread":0.2535320741439557,"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."}}