{"id":"W1980815839","doi":"10.1177/0097700408329613","title":"“A Married Out Daughter Is Like Spilt Water”?","year":2009,"lang":"en","type":"article","venue":"Modern China","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Daughter; Context (archaeology); China; Fertility; Political science; Marriage market; State (computer science); Population; Politics; Economic growth; Government (linguistics); Development economics; Sociology; Demographic economics; Economics; Geography; Demography","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":[0.0008071878,0.0001254778,0.0001842583,0.0002979729,0.002428918,0.001101379,0.0002261815,0.0005386691,0.005410894],"category_scores_gemma":[0.001999444,0.0001407249,0.0001085981,0.0003282389,0.001864591,0.00166355,0.0006647377,0.0008863664,0.0005450498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008132705,"about_ca_system_score_gemma":0.0006941887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251332,"about_ca_topic_score_gemma":0.02451075,"domain_scores_codex":[0.9997287,0.0001156034,0.00001014722,0.0000389149,0.00003807689,0.00006863182],"domain_scores_gemma":[0.9996933,0.00005296717,0.00009268639,0.0000102742,0.00004195014,0.000108874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001803824,0.0001544344,0.3494222,0.0001938668,0.00004936298,0.005762989,0.4688965,0.00005561839,0.001201753,0.0261783,0.03942233,0.1084824],"study_design_scores_gemma":[0.0000129563,0.000133469,0.07254718,0.000139867,0.00001910709,0.003618951,0.8405513,0.0001027606,0.0002638795,0.00265384,0.07993416,0.00002264177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462883,0.001975693,0.0002949215,0.03066558,0.0006128731,0.00001681546,0.0001064642,0.000008002987,0.02003141],"genre_scores_gemma":[0.9860848,0.001485754,0.00009793761,0.005350745,0.0001079338,0.000007765689,0.0000364328,0.000003096767,0.006825568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251332,"threshold_uncertainty_score":0.02488095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218844277037484,"score_gpt":0.3021546752070158,"score_spread":0.2699662324366409,"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."}}