{"id":"W2168000908","doi":"10.1080/0042098042000268410","title":"Do Economic Reforms Accelerate Urban Growth? The Case of China","year":2004,"lang":"en","type":"article","venue":"Urban Studies","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Openness to experience; China; Foreign direct investment; Economic geography; Human capital; Economics; Investment (military); Capital (architecture); Development economics; Foreign capital; Economic growth; Economic system; Geography; Political science; Macroeconomics; Politics","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":[0.0009384634,0.0002294218,0.0003751141,0.001654982,0.001945457,0.002111412,0.0004983033,0.0006922886,0.004351364],"category_scores_gemma":[0.002011466,0.0001561247,0.0005875214,0.002533112,0.002587962,0.001569598,0.002167665,0.000899614,0.0001966092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007312889,"about_ca_system_score_gemma":0.004834938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2562576,"about_ca_topic_score_gemma":0.2746365,"domain_scores_codex":[0.9993147,0.0001152887,0.00001238801,0.00003837117,0.00005784907,0.0004614341],"domain_scores_gemma":[0.9988564,0.0001486547,0.0003222524,0.00007704178,0.000230392,0.0003652731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005603582,0.0003220919,0.4899981,0.0002393478,0.0002183834,0.007229722,0.006335811,0.02766984,0.001277296,0.4092405,0.01273772,0.04417081],"study_design_scores_gemma":[0.0003339546,0.0002236662,0.8102695,0.0001830552,0.0003060266,0.0005888399,0.01705735,0.04001045,0.001789027,0.07429422,0.05483988,0.0001040867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551407,0.001424383,0.0002825169,0.01242969,0.00003736583,0.00002649912,0.0002025493,0.00002231748,0.03043409],"genre_scores_gemma":[0.9981406,0.0005899689,0.00004528933,0.0001418681,0.00001882253,0.000004295108,0.00003516939,0.000002458036,0.001021625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2562576,"threshold_uncertainty_score":0.509532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015866067067674,"score_gpt":0.2514146244994811,"score_spread":0.2012559638288044,"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."}}