{"id":"W4387224981","doi":"10.2139/ssrn.4564080","title":"The Fertility Gap and Economic Freedom","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Fertility; Economic freedom; Economics; Political science; Development economics; Demography; Sociology; Law; Population","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":[0.001827579,0.0001089936,0.0004189374,0.001077728,0.001557273,0.002399407,0.000278564,0.001087302,0.01121769],"category_scores_gemma":[0.00607221,0.00009807976,0.0002353491,0.001296972,0.006586389,0.002218328,0.003042101,0.001697485,0.0004272653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004781,"about_ca_system_score_gemma":0.001124443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266399,"about_ca_topic_score_gemma":0.004230151,"domain_scores_codex":[0.9990464,0.0004306526,0.00002726431,0.00008354471,0.0001175753,0.0002945655],"domain_scores_gemma":[0.996209,0.002389269,0.000532525,0.0001891422,0.0001332175,0.000546815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001105382,0.0001210357,0.02144062,0.0000300185,0.00001959498,0.0001318924,0.001849126,0.0006743513,0.00008056751,0.9570204,0.00261651,0.0159054],"study_design_scores_gemma":[0.00003433013,0.00003953869,0.03916565,0.00008531679,0.00001335894,0.0001402654,0.003676198,0.000780988,0.00009210905,0.9401717,0.01578257,0.00001784084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5551965,0.00638144,0.002407108,0.05795675,0.0002476722,0.00001915592,0.0007525272,0.00002009312,0.3770188],"genre_scores_gemma":[0.9956465,0.0008062056,0.00006375181,0.0004107308,0.0001095472,0.000008040502,0.00003541862,0.000003613894,0.002916103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121769,"threshold_uncertainty_score":0.03752691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544054493420166,"score_gpt":0.3041440543943145,"score_spread":0.2787035094601129,"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."}}