{"id":"W2084835679","doi":"10.1016/j.econmod.2010.03.011","title":"Household income mobility in rural China: 1989–2006","year":2010,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Economics; China; Income distribution; Economic inequality; Ranking (information retrieval); Demographic economics; Convergence (economics); Inequality; Distribution (mathematics); Economic mobility; Social mobility; Gini coefficient; Divergence (linguistics); Household income; Labour economics; Econometrics; Geography; Macroeconomics; Poverty; Economic growth; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005977899,0.0004481697,0.000409449,0.001498579,0.0008128808,0.0007540646,0.0009982821,0.0004063063,0.001678475],"category_scores_gemma":[0.0009871066,0.0002805053,0.0007260176,0.003855633,0.0002890413,0.0007876919,0.0009449264,0.0005142775,0.0002932744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894412,"about_ca_system_score_gemma":0.002193355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3152971,"about_ca_topic_score_gemma":0.3990814,"domain_scores_codex":[0.9996983,0.00004936303,0.00002955288,0.00006383087,0.00003235408,0.0001267382],"domain_scores_gemma":[0.9995937,0.00003804674,0.0001415528,0.00003284304,0.00008930712,0.0001046201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001525567,0.00009115477,0.9787001,0.00005243361,0.0001381072,0.0002323943,0.001587749,0.006565998,0.000119265,0.001064861,0.001554516,0.009740734],"study_design_scores_gemma":[0.00000372345,0.00003013791,0.9882898,0.00001404647,0.00003686522,0.00004506955,0.001132678,0.008719015,0.00005020382,0.0001494716,0.001520623,0.000008272456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969403,0.0002470615,0.0001978329,0.0001713288,0.000006153997,0.000006735255,0.001744552,0.00001088479,0.0006751217],"genre_scores_gemma":[0.9975222,0.0001404509,0.00007532506,0.000008455454,0.000005242131,0.000009200849,0.001273158,0.000002349717,0.0009636625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3152971,"threshold_uncertainty_score":0.6269237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414580359829196,"score_gpt":0.2764414585330009,"score_spread":0.242295654934709,"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."}}