{"id":"W3025450927","doi":"10.3386/w15152","title":"Creative Accounting or Creative Destruction? Firm-level Productivity Growth in Chinese Manufacturing","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Total factor productivity; Productivity; Economics; Growth accounting; Labour economics; Production (economics); Wage; Multifactor productivity; Demographic economics; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001050117,0.0003315358,0.0002933977,0.003671065,0.0004507691,0.001672473,0.0003456023,0.0002504813,0.001803051],"category_scores_gemma":[0.003320292,0.0001330011,0.0004577198,0.004476269,0.0008358351,0.001247202,0.0007816576,0.000414019,0.0001866898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956112,"about_ca_system_score_gemma":0.0009380392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05068256,"about_ca_topic_score_gemma":0.03925703,"domain_scores_codex":[0.9997389,0.00002632874,0.00002342862,0.00004568703,0.00006200998,0.0001036255],"domain_scores_gemma":[0.9973156,0.0007574346,0.001160361,0.0002132371,0.0003409348,0.0002124332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004810693,0.00002066557,0.966398,0.0000569421,0.00006269596,0.0004449168,0.0008742,0.003731761,0.000618058,0.003771861,0.0008808561,0.02309195],"study_design_scores_gemma":[0.000003062418,0.00001324201,0.9903957,0.00001924002,0.00003396439,0.00004208322,0.0006690862,0.006017522,0.0005166387,0.001065141,0.00121453,0.000009707279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944426,0.0007655084,0.0003638445,0.0002888705,0.000006698133,0.00000626461,0.0004678212,0.00001377564,0.003644513],"genre_scores_gemma":[0.9989371,0.0002399087,0.00006493292,0.000009350032,0.00001056869,0.000002465783,0.0003145614,0.000001151465,0.000419862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05068256,"threshold_uncertainty_score":0.1007751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3429994519573062,"score_gpt":0.425526951210072,"score_spread":0.08252749925276581,"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."}}