{"id":"W1837998576","doi":"10.1016/j.ejogrb.2015.05.012","title":"Historic Royal events and the male to female ratio at birth in the United Kingdom","year":2015,"lang":"en","type":"article","venue":"European Journal of Obstetrics & Gynecology and Reproductive Biology","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronation; Demography; Queen (butterfly); Medicine; Monarchy; Quarter (Canadian coin); Kingdom; Ancient history; History; Law; Biology; Politics; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006893891,0.00009863803,0.0002229709,0.0003404304,0.0003575727,0.00002109372,0.0003518134,0.00005404717,0.00002617392],"category_scores_gemma":[0.007255152,0.00005157695,0.00004174998,0.0007653901,0.00078815,0.00005111426,0.0001232791,0.000283323,0.000006306571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006884778,"about_ca_system_score_gemma":0.00008065691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001226553,"about_ca_topic_score_gemma":0.0002027718,"domain_scores_codex":[0.9946879,0.004377901,0.0003198134,0.0002531517,0.0001394336,0.0002217805],"domain_scores_gemma":[0.9976636,0.001579576,0.0002790735,0.0001632473,0.0002080046,0.0001064953],"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":[0.0005708588,0.0002007639,0.7849872,0.000007761929,0.0001527862,0.0002198113,0.1463957,0.00008264746,0.00003175578,0.03664958,0.006242771,0.02445842],"study_design_scores_gemma":[0.001765754,0.0007183012,0.4043322,0.000005144934,0.00003202843,0.00008254956,0.009817763,0.000003062354,0.000002503091,0.00212108,0.5810063,0.0001133592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800534,0.00420866,0.00005768067,0.006396524,0.002162949,0.0001651754,0.000002208362,0.000004955514,0.006948495],"genre_scores_gemma":[0.9973107,0.0003949469,0.0001070629,0.0003669677,0.0002839413,0.000002173603,0.000001062148,0.000005042652,0.001528084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5747635,"threshold_uncertainty_score":0.8685619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08453513571436462,"score_gpt":0.3074037814775524,"score_spread":0.2228686457631878,"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."}}