{"id":"W2133123155","doi":"","title":"Sexual Bias and Household Consumption : A Semiparametic Analysis of Engel curves in Rural China","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Engel curve; Endogeneity; Consumption (sociology); Economics; China; Sample (material); Demographic economics; Scale (ratio); Econometrics; Geography; Price index; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002420155,0.00009816316,0.0002642435,0.0004113893,0.0001774356,0.00004282891,0.0001706959,0.00007021402,0.0002308051],"category_scores_gemma":[0.00004335125,0.00008502085,0.00008923737,0.0009828169,0.0002124964,0.000178884,0.000009939067,0.0006208532,0.000001404983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101199,"about_ca_system_score_gemma":0.0004581627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004081409,"about_ca_topic_score_gemma":0.09511802,"domain_scores_codex":[0.9979584,0.000346707,0.0002838687,0.0001430183,0.0003144559,0.0009535609],"domain_scores_gemma":[0.9996092,0.00008447952,0.000121704,0.00008531597,0.00002063939,0.00007871825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004203499,0.0001126401,0.7465435,0.00001509934,0.0006821223,0.000001906474,0.007766041,0.0001277912,0.00002188292,0.01206349,0.00003480018,0.2325886],"study_design_scores_gemma":[0.0005236797,0.0002070544,0.9534255,0.00006390832,0.0005520967,0.00002101185,0.01098928,0.0001979544,0.000003088771,0.03351827,0.0002911643,0.0002070457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857348,0.01272003,0.00002864685,0.0005029858,0.00002742134,0.00005954037,0.000006377732,0.0000155795,0.0009045865],"genre_scores_gemma":[0.9234183,0.07586811,0.00001311688,0.00002734349,0.00003187224,0.000002279431,0.000003096116,0.000004345579,0.0006315389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323816,"threshold_uncertainty_score":0.9213937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689277491285225,"score_gpt":0.2957941138187107,"score_spread":0.2589013389058584,"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."}}