{"id":"W2125481795","doi":"10.1016/j.jdeveco.2006.08.003","title":"A numerical simulation analysis of (Hukou) labour mobility restrictions in China","year":2006,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":196,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Inequality; China; Wage; Homogeneous; Gini coefficient; Rural area; Economic geography; Economics; Economic inequality; Internal migration; Productivity; Geography; Demographic economics; Labour economics; Developing country; Economic growth; Political science; Mathematics","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":[0.0008685692,0.0001412058,0.0009268015,0.001577504,0.00005211819,0.00004138454,0.0002242913,0.0000952749,0.0001559859],"category_scores_gemma":[0.00006083909,0.0001601346,0.0003953641,0.0008720258,0.0000322743,0.0002887364,0.00002961716,0.0001490218,0.00001428427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566917,"about_ca_system_score_gemma":0.0001301806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669746,"about_ca_topic_score_gemma":0.0009078687,"domain_scores_codex":[0.9971085,0.00001815321,0.002416431,0.0002355185,0.00003642716,0.0001849253],"domain_scores_gemma":[0.9977202,0.00009696163,0.001852338,0.000185348,0.00007753454,0.00006762067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002316464,0.0001863855,0.4002281,0.000005224212,0.0003819249,0.000001219052,0.00009110408,0.5709364,0.000001547431,0.02783111,0.0000140512,0.0002998197],"study_design_scores_gemma":[0.0003851285,0.00002876194,0.8315819,0.00000555359,0.00005218883,0.000001410031,0.00001995674,0.1488064,0.00002311167,0.01397499,0.004971208,0.0001494346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866544,0.0002266026,0.01092558,0.0003783563,0.000140915,0.00006801432,0.00003117981,0.000003414594,0.001571518],"genre_scores_gemma":[0.9963984,0.0001778888,0.003151486,0.00003419507,0.00006513474,0.000003117647,0.00001765298,0.00001095553,0.0001411221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4313538,"threshold_uncertainty_score":0.65301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791859108838467,"score_gpt":0.2208298771114684,"score_spread":0.2029112860230837,"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."}}