{"id":"W2992380410","doi":"10.25071/1874-6322.22706","title":"Intercity Income Inequality Growth and Convergence in China","year":2009,"lang":"en","type":"article","venue":"Journal of Income Distribution","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Stochastic dominance; Inequality; Welfare; Income distribution; Economic inequality; Convergence (economics); China; Globalization; Pace; Polarization (electrochemistry); Dominance (genetics); Per capita; Distribution (mathematics); Development economics; Economic geography; Geography; Economic growth; Econometrics; Population; Market economy","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":[0.0008979875,0.0001056326,0.0004665017,0.0002012694,0.00004558512,0.00004233583,0.0001522721,0.0000744846,0.00004455803],"category_scores_gemma":[0.0002156906,0.000106324,0.0001387437,0.0002505493,0.00004186072,0.0003753957,0.00003018834,0.0002094425,0.000009739214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822699,"about_ca_system_score_gemma":0.00001801334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191698,"about_ca_topic_score_gemma":0.00004676883,"domain_scores_codex":[0.9985953,0.00002536632,0.001034643,0.0001559438,0.00004166296,0.0001471083],"domain_scores_gemma":[0.9989524,0.00002858028,0.0007677359,0.0001036928,0.0000553541,0.00009220357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005595115,0.00008713418,0.7730386,0.0000136233,0.00002441421,0.000009013731,0.00008175851,0.0000748321,0.00002989877,0.2260579,0.00002756804,0.0004993154],"study_design_scores_gemma":[0.0004217157,0.0001330688,0.887342,0.00002835438,0.00000420564,0.00001655641,0.00001615581,0.002004847,0.00006362516,0.1097006,0.0001588595,0.0001099976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810615,0.000446176,0.01559612,0.002323464,0.00014924,0.00004202752,0.00007801708,0.000003362514,0.0003001456],"genre_scores_gemma":[0.9988904,0.000809758,0.0001142639,0.00008687074,0.0000682485,6.752423e-7,0.00001910537,0.000003231534,0.000007424873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163573,"threshold_uncertainty_score":0.4335765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559052928674391,"score_gpt":0.2266676758365789,"score_spread":0.211077146549835,"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."}}