{"id":"W3023427038","doi":"10.3386/w21511","title":"Missing Unmarried Women","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Science Foundation","keywords":"Demography; Missing data; China; Geography; Marital status; Population; Sociology; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01100395,0.0001299574,0.0003090896,0.0007135508,0.0003240907,0.0002071778,0.000898099,0.0003751031,0.001079394],"category_scores_gemma":[0.0008887272,0.0001356978,0.0001030016,0.0002255659,0.0008092719,0.0001333292,0.000452957,0.0006999255,0.00008357109],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220687,"about_ca_system_score_gemma":0.006339654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499218,"about_ca_topic_score_gemma":0.002083219,"domain_scores_codex":[0.9966621,0.0006299511,0.0003936039,0.0004494099,0.00134577,0.0005191996],"domain_scores_gemma":[0.997583,0.0006180331,0.000186605,0.0002345613,0.001080081,0.0002976735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005025963,0.00007431203,0.001930237,0.00006052551,0.0001585643,0.000001374398,0.01751778,0.0003943621,0.00001011625,0.91902,0.04355324,0.01722925],"study_design_scores_gemma":[0.000169528,0.00002547958,0.0006057566,0.00003347703,0.000002745945,1.904357e-7,0.003100388,0.0001341363,0.000008709512,0.9684267,0.0273638,0.0001291122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06031363,0.0005449386,0.00000415781,0.004747957,0.0006069971,0.0002874247,0.00006719677,0.00003233162,0.9333954],"genre_scores_gemma":[0.9929772,0.0002695243,0.0002589584,0.00002294796,0.0007031425,0.00007746223,0.00007378352,0.00001233655,0.005604639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9326636,"threshold_uncertainty_score":0.9998338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5617908358627705,"score_gpt":0.5681976840627753,"score_spread":0.006406848200004811,"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."}}