{"id":"W2133513604","doi":"10.1186/2193-9039-2-10","title":"Missing women in the United Kingdom","year":2013,"lang":"en","type":"article","venue":"IZA Journal of Migration","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Missing data; Demographic economics; Kingdom; Daughter; Selection (genetic algorithm); Sex selection; Survey data collection; Economics; Demography; Geography; Sociology; Political science","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":[0.001409704,0.0001247464,0.0003740156,0.0009649801,0.0005571367,0.001047453,0.0004283199,0.0004064692,0.006355878],"category_scores_gemma":[0.008140191,0.0001448863,0.0002468963,0.001637205,0.0003308175,0.0005587893,0.001147205,0.0004317484,0.001070549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007286071,"about_ca_system_score_gemma":0.0006407455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05971161,"about_ca_topic_score_gemma":0.07882296,"domain_scores_codex":[0.9981636,0.0007825083,0.0001929836,0.0002302372,0.0002998816,0.0003307902],"domain_scores_gemma":[0.9936084,0.001686008,0.002740956,0.0004210182,0.001031355,0.0005123378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342593,0.00001463737,0.9678983,0.0001132849,0.00003997952,0.0003609784,0.005175909,0.0001627304,0.0001583868,0.0008022776,0.006575179,0.01856408],"study_design_scores_gemma":[0.000009372726,0.00004561279,0.9744139,0.0002558027,0.00001611019,0.0003011455,0.01274129,0.000229719,0.000151524,0.0002335875,0.01158669,0.00001535703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869086,0.001762069,0.0001342097,0.001447562,0.00005050306,0.00001340484,0.005726034,0.000007907659,0.003949756],"genre_scores_gemma":[0.9956812,0.0006497759,0.0001109317,0.0002203128,0.000009408841,0.00001652206,0.001424407,0.000003658125,0.001883789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05971161,"threshold_uncertainty_score":0.1187281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0727130295392349,"score_gpt":0.3254728620132958,"score_spread":0.2527598324740609,"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."}}