{"id":"W4396889837","doi":"10.2139/ssrn.4825758","title":"Quarter of Birth, Gender Inequality, and Economic Development","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Inequality; Gender inequality; Economics; Demographic economics; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007889498,0.0001078729,0.0002361779,0.001178768,0.0005879844,0.001010855,0.0002673298,0.0004201837,0.01023499],"category_scores_gemma":[0.004095835,0.00009215035,0.0002647447,0.0020256,0.0004289058,0.0009062289,0.0006141212,0.0006805897,0.0006884817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381677,"about_ca_system_score_gemma":0.0004233069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104243,"about_ca_topic_score_gemma":0.03728035,"domain_scores_codex":[0.9996954,0.00008562238,0.00001728069,0.00002668895,0.00003621979,0.0001387888],"domain_scores_gemma":[0.9976132,0.0006653313,0.0007670342,0.00008528236,0.0001781442,0.0006910188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001291914,0.00008673649,0.9888387,0.00001613433,0.00003201575,0.0000952436,0.0006438043,0.0001089618,0.00005517942,0.001055862,0.001004174,0.007933918],"study_design_scores_gemma":[0.000002083075,0.00004280551,0.9957232,0.00001856334,0.00001234519,0.00006474352,0.002522835,0.0001413832,0.00003020646,0.000457885,0.0009803147,0.000003533112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902435,0.00147326,0.00006385204,0.001345504,0.00004050702,0.000003067617,0.001143506,0.000004382896,0.005682339],"genre_scores_gemma":[0.9981015,0.0005244515,0.00001712824,0.00006382173,0.00002965496,0.000002085432,0.0003353911,0.00000230761,0.0009236093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02104243,"threshold_uncertainty_score":0.0418399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959909938189646,"score_gpt":0.3020546464045996,"score_spread":0.2724555470227031,"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."}}