{"id":"W2393643688","doi":"","title":"The Wealth Distribution of Chinese Urban and Rural Households without Wealth","year":2008,"lang":"en","type":"article","venue":"Zhongguo Renmin Daxue xuebao","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Distribution (mathematics); Poverty; Economics; Inequality; Demographic economics; Population; Rural area; Socioeconomics; Labour economics; Geography; Economic growth; Demography; Sociology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000252155,0.0001059217,0.0001084946,0.001243952,0.0003426512,0.000361359,0.0001053983,0.00008784402,0.00226375],"category_scores_gemma":[0.0006539483,0.0000658693,0.0001418197,0.001201409,0.0002783792,0.00029355,0.0003862868,0.000100102,0.0001811733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765623,"about_ca_system_score_gemma":0.0002840992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707794,"about_ca_topic_score_gemma":0.02059119,"domain_scores_codex":[0.9998786,0.00002062476,0.00001137824,0.00001795345,0.00002467941,0.00004678726],"domain_scores_gemma":[0.9997354,0.00004031444,0.00009013098,0.0000221526,0.00004648314,0.00006555048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006034426,0.00002526405,0.9919606,0.00001058477,0.00002979931,0.0001299427,0.0007582637,0.0005128208,0.0003491141,0.0006624428,0.0002966951,0.0052041],"study_design_scores_gemma":[0.000001795751,0.00001632442,0.9981754,0.000002579841,0.000006587868,0.00004556632,0.0005794845,0.0006844158,0.00007406138,0.0001564137,0.0002541807,0.000003169753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984901,0.0000189887,0.00003702116,0.00001873877,6.263179e-7,0.000003521082,0.000233712,9.091466e-7,0.001196386],"genre_scores_gemma":[0.9994314,0.00002247317,0.00001832411,0.000004821275,0.000001024881,0.000002947855,0.000225575,3.174425e-7,0.0002930935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01707794,"threshold_uncertainty_score":0.03395712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246991462748116,"score_gpt":0.3017896476645746,"score_spread":0.2793197330370934,"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."}}