{"id":"W72827454","doi":"","title":"The Impact of Female Education on Fertility: Evidence from Turkey","year":2013,"lang":"en","type":"article","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Fertility; Demography; Total fertility rate; Population; Instrumental variable; Family planning; Economics; Research methodology; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006348898,0.0001138805,0.0001961571,0.00009913599,0.001027529,0.0001892484,0.001013689,0.0001296684,0.0003303626],"category_scores_gemma":[0.0004260617,0.0001062728,0.0001835716,0.0004398282,0.0004788761,0.001791075,0.0001270986,0.0003063571,0.0001133781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310714,"about_ca_system_score_gemma":0.0007488542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.19381,"about_ca_topic_score_gemma":0.01480635,"domain_scores_codex":[0.9985206,0.0004202139,0.0001426175,0.0002223606,0.000439173,0.0002550697],"domain_scores_gemma":[0.9978892,0.0005822815,0.0002069169,0.0005501674,0.0006063919,0.0001650374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001188243,0.0004080564,0.9280896,0.00001208838,0.0001207671,0.000001367396,0.04491889,0.00006069952,0.003986661,0.004844605,0.003986866,0.01345153],"study_design_scores_gemma":[0.000149708,0.0001125556,0.9381551,0.00005896257,0.00002702732,8.584078e-8,0.05628353,0.0002189997,0.00001321624,0.004252024,0.0006210246,0.0001078264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871278,0.0003536264,0.0001469011,0.001145227,0.000211395,0.0003230423,0.00003980123,0.00002932355,0.01062293],"genre_scores_gemma":[0.9979468,0.0002490744,0.0005195413,0.00002194095,0.0000327784,6.791503e-7,0.000008557309,0.000006653018,0.001213979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790036,"threshold_uncertainty_score":0.8262289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967621786474698,"score_gpt":0.290681322069725,"score_spread":0.2510051042049781,"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."}}