{"id":"W2057455293","doi":"10.1016/j.jdeveco.2008.02.006","title":"Economic transition and gender differentials in wages and productivity: Evidence from Chinese manufacturing enterprises","year":2008,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Productivity; Wage; Labour economics; Economics; Manufacturing sector; State (computer science); Demographic economics; Economic growth","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":[0.0006645838,0.0002288025,0.0003370037,0.001564387,0.00101399,0.0007724373,0.0004507928,0.0004493883,0.003048564],"category_scores_gemma":[0.001573538,0.0001938265,0.0004717622,0.002992906,0.001037614,0.0008476147,0.001199289,0.0005188133,0.0002571121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008967966,"about_ca_system_score_gemma":0.0009445137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08886354,"about_ca_topic_score_gemma":0.1040721,"domain_scores_codex":[0.9996431,0.00005061196,0.00002714727,0.00006017563,0.00004866753,0.0001703163],"domain_scores_gemma":[0.9980204,0.0005724571,0.0006619939,0.00009471187,0.0002004853,0.000449947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001262995,0.00009133336,0.9935735,0.00001748004,0.00004941521,0.0002016215,0.002291409,0.00008066816,0.000208709,0.0002837781,0.0001185098,0.002957144],"study_design_scores_gemma":[0.000003078507,0.00001839019,0.9979965,0.000003641905,0.0000174318,0.00001486244,0.00173284,0.00005579453,0.00002669219,0.00004846547,0.00007998557,0.000002317759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999432,0.00009602729,0.00001054514,0.00005752636,0.00000147142,0.000001863753,0.00007097922,3.675284e-7,0.0003291333],"genre_scores_gemma":[0.9996227,0.0000962745,0.000005591591,0.00001772159,0.000003322619,0.000001364021,0.0001194501,2.992342e-7,0.0001332237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08886354,"threshold_uncertainty_score":0.1766926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755242955963868,"score_gpt":0.229879808054918,"score_spread":0.1923273784952793,"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."}}