{"id":"W2175471332","doi":"10.2139/ssrn.2695933","title":"Privatization and Innovation: Productivity, New Products, and Patents in China","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Business; Productivity; Industrial organization; Intellectual property; International trade; Commerce; Economics; Economic growth; Political science; Law","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":[0.001012534,0.0002402506,0.0005774871,0.002649491,0.0007183234,0.0019251,0.0005879979,0.00085005,0.003368141],"category_scores_gemma":[0.002203903,0.0002420036,0.0008258817,0.00444192,0.001122644,0.001677946,0.001032861,0.0006286354,0.0003123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003244575,"about_ca_system_score_gemma":0.004090047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1138809,"about_ca_topic_score_gemma":0.1156511,"domain_scores_codex":[0.99933,0.00006790528,0.00006732508,0.0001275659,0.0001696319,0.000237559],"domain_scores_gemma":[0.9953085,0.001363872,0.001994974,0.0002036755,0.0005022487,0.0006267888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001778306,0.0001383291,0.9815051,0.00005658001,0.0001848371,0.0005013031,0.0004163953,0.004187553,0.0006402865,0.003944074,0.000877083,0.007370585],"study_design_scores_gemma":[0.00001781127,0.00006770225,0.9897224,0.00001533556,0.00009460167,0.00007060145,0.0005641976,0.006435963,0.0003216983,0.001572604,0.001096122,0.00002101657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967173,0.0009017113,0.0001139084,0.0005343426,0.000006683322,0.000003488778,0.000328571,0.00001047626,0.001383543],"genre_scores_gemma":[0.998773,0.0002472526,0.00001477517,0.00001798248,0.00001306806,0.000001421372,0.0002110687,0.000001250431,0.0007200745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138809,"threshold_uncertainty_score":0.226436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598494003064857,"score_gpt":0.204827657052307,"score_spread":0.1788427170216584,"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."}}