{"id":"W4206651619","doi":"10.1177/00469580211067933","title":"The Effect of China’s Two-Child Policy on the Child Sex Ratio: Evidence From Shanghai, China","year":2022,"lang":"en","type":"article","venue":"INQUIRY The Journal of Health Care Organization Provision and Financing","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation","keywords":"Sex ratio; China; One-child policy; Demography; Socioeconomic status; Matching (statistics); Sex selection; Medicine; Family planning; Political science; Population; Law; Research methodology; Sociology","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":[0.002193351,0.0003050117,0.0002958161,0.001105168,0.0004296092,0.00053825,0.000491199,0.0002656197,0.001360353],"category_scores_gemma":[0.004834918,0.0001789519,0.0006327463,0.001585865,0.001068807,0.0002752256,0.0005754319,0.0003519247,0.00006410669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363745,"about_ca_system_score_gemma":0.002097256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1028337,"about_ca_topic_score_gemma":0.09182546,"domain_scores_codex":[0.9983301,0.0006345411,0.0001715631,0.0001945444,0.0003627701,0.0003065235],"domain_scores_gemma":[0.9942902,0.001023527,0.003101999,0.0003396251,0.0003963037,0.000848248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001922316,0.00002555791,0.9930288,0.00008010791,0.0001801211,0.0001071685,0.0002599851,0.0001064487,0.0000786239,0.0001996299,0.0001692885,0.005571958],"study_design_scores_gemma":[0.00001341545,0.00006172102,0.9993485,0.0000172449,0.00007134648,0.00003228058,0.0001469332,0.00006333806,0.00003798144,0.00002138464,0.0001835588,0.000002337804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962645,0.002465546,0.00004237929,0.0004197344,0.00001768309,0.000005207233,0.0001795639,0.000002917922,0.0006023257],"genre_scores_gemma":[0.9991334,0.0005828242,0.00001467412,0.00007380409,0.00000967429,0.000002188737,0.0001139599,5.891086e-7,0.00006894075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028337,"threshold_uncertainty_score":0.2044703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896418961259023,"score_gpt":0.3182532850427205,"score_spread":0.2992890954301303,"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."}}