{"id":"W4408003316","doi":"10.1007/s00148-025-01092-5","title":"Religiously inspired baby boom: evidence from Georgia","year":2025,"lang":"en","type":"article","venue":"Journal of Population Economics","topic":"Religion and Society Interactions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Social policy; Boom; Baby boom; Economics; Development economics; Sociology; Demography; Population; Geology; Market economy","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":[0.000505569,0.00006272426,0.0001718958,0.000104969,0.0002726156,0.0001336793,0.0002028151,0.0001042517,0.0001227244],"category_scores_gemma":[0.0005341662,0.00006554752,0.0001818402,0.000120263,0.00004428489,0.0006442699,0.00001702152,0.000168465,0.00002955793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005501825,"about_ca_system_score_gemma":0.0003148892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360747,"about_ca_topic_score_gemma":0.001992763,"domain_scores_codex":[0.9990658,0.00009366848,0.0005412355,0.00008992003,0.00009641137,0.0001130229],"domain_scores_gemma":[0.9989127,0.000275016,0.0004683131,0.0001090726,0.0001558344,0.00007908935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000220627,0.0001777947,0.6406684,0.000017335,0.0004317964,0.000008713164,0.03517868,0.01125915,0.0004454852,0.1155116,0.1729155,0.02316491],"study_design_scores_gemma":[0.0009039778,0.00007730283,0.3678608,0.0004427274,0.0001416141,0.000005353058,0.00732051,0.002527985,0.0001279796,0.09774525,0.5225185,0.0003280214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779128,0.0004176957,0.000713451,0.01212029,0.002100186,0.00007829309,0.000003339934,0.00001746924,0.00663641],"genre_scores_gemma":[0.9923334,0.003262814,0.001078168,0.001127068,0.0003824952,0.000001053375,0.000003353286,0.000004825723,0.001806886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.349603,"threshold_uncertainty_score":0.961559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904251666461648,"score_gpt":0.3398265694240895,"score_spread":0.310784052759473,"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."}}