{"id":"W1588784367","doi":"10.3386/w16575","title":"The Regional Distribution of Skill Premia in Urban China","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"China Scholarship Council","keywords":"China; Distribution (mathematics); Economic geography; Geography; Business; Regional 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005612813,0.0001189125,0.0001922796,0.001543778,0.0002859296,0.00042175,0.0002338184,0.0001211518,0.001526381],"category_scores_gemma":[0.001304247,0.0001096835,0.0002208654,0.001560452,0.000459602,0.0002669079,0.0006499038,0.0001679697,0.0001780754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509202,"about_ca_system_score_gemma":0.0006166847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04759759,"about_ca_topic_score_gemma":0.08003487,"domain_scores_codex":[0.999712,0.00003707322,0.00002111099,0.00007659364,0.00004385318,0.0001093671],"domain_scores_gemma":[0.9988189,0.0001424273,0.0004737448,0.0001424604,0.0002413027,0.0001810329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003517555,0.00001050907,0.9926894,0.00001125834,0.00003733229,0.000071797,0.0006770589,0.0005934729,0.0006290657,0.000605191,0.0002509631,0.00438866],"study_design_scores_gemma":[9.446784e-7,0.000008043977,0.9993185,0.000001641194,0.000003443191,0.000009044173,0.0001442138,0.0002939228,0.00004865933,0.00005459122,0.0001153422,0.000001690787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989476,0.00004842628,0.00005938559,0.00003545531,8.006583e-7,0.000002329628,0.0001804613,0.000003848104,0.0007217897],"genre_scores_gemma":[0.9995494,0.00002612742,0.00002635178,0.000006044333,0.000001414183,0.000001518642,0.0002195468,7.650125e-7,0.0001686898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04759759,"threshold_uncertainty_score":0.09464109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1710152588253235,"score_gpt":0.503998281769013,"score_spread":0.3329830229436895,"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."}}