{"id":"W4401990822","doi":"10.15353/rea.v16i2.5180","title":"Quality of Schooling, Fertility and Economic Growth","year":2024,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Quality (philosophy); Economics; Development economics; Demographic economics; Demography; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007577679,0.0001392,0.0002418424,0.0006309018,0.0002603735,0.001146681,0.0002473378,0.0004662755,0.003574456],"category_scores_gemma":[0.004058821,0.0001038546,0.0003041069,0.0008860066,0.0008752434,0.0006048085,0.0006672909,0.0005566433,0.0003389447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106498,"about_ca_system_score_gemma":0.000623322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006562434,"about_ca_topic_score_gemma":0.004687966,"domain_scores_codex":[0.9997883,0.00006009502,0.00001211822,0.00002939251,0.0000322688,0.00007778179],"domain_scores_gemma":[0.9963384,0.001553577,0.001446355,0.0001444129,0.000190649,0.0003267509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003263087,0.0003560569,0.7255136,0.0003167425,0.0002653261,0.0006751037,0.0008445527,0.07698281,0.001148644,0.1285535,0.002969271,0.06204803],"study_design_scores_gemma":[0.00008243305,0.0002984473,0.7683321,0.0002900794,0.0001738352,0.0005752618,0.001477241,0.05764538,0.001120152,0.1541926,0.01574618,0.00006627454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693285,0.004401926,0.004701746,0.002676658,0.00003325831,0.00002472019,0.001018586,0.00004176726,0.01777275],"genre_scores_gemma":[0.9962607,0.001354839,0.0004127228,0.00005785346,0.00002238837,0.00000764283,0.0002005449,0.000004259259,0.001678927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006562434,"threshold_uncertainty_score":0.01304847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525500284962327,"score_gpt":0.3506393838868627,"score_spread":0.3253843810372394,"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."}}