{"id":"W3144972453","doi":"","title":"Corruption, Government Subsidies, and Innovation: Evidence from China","year":2018,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Language change; Government (linguistics); China; Quarter (Canadian coin); Politics; Economics; Rent-seeking; Business; Public economics; Private sector; Economic policy; Market economy; Economic growth; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002595395,0.00009014204,0.000205235,0.0004928173,0.0001973199,0.00006240142,0.000227254,0.0001001619,0.001523132],"category_scores_gemma":[0.001026812,0.0001040982,0.00002680636,0.0006045699,0.0003661498,0.0004065127,0.0001130632,0.0001762269,0.0005874734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219189,"about_ca_system_score_gemma":0.0001108574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004258,"about_ca_topic_score_gemma":0.00006647185,"domain_scores_codex":[0.9985214,0.00002859691,0.0007084014,0.0003508799,0.0001782018,0.0002124858],"domain_scores_gemma":[0.9987565,0.0003046934,0.000292067,0.0001984646,0.0004110462,0.00003728215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003823857,0.00002431985,0.03179069,0.000009039281,0.00002997987,1.567919e-7,0.0002650667,0.00001001529,0.0002568368,0.9580108,0.009194947,0.0003699046],"study_design_scores_gemma":[0.0003607025,0.0001077065,0.1305703,0.00003137379,0.000001021563,0.000001671692,0.00004878359,0.001697995,0.001541974,0.8511028,0.01440711,0.0001286182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7444912,0.0007578768,0.0003908608,0.005873972,0.0004188922,0.0002576989,0.0003176698,0.00001529581,0.2474765],"genre_scores_gemma":[0.9958202,0.0001980884,0.0005800152,0.0001509397,0.0006717062,0.00002295033,0.00004482989,0.00001111758,0.002500171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2513289,"threshold_uncertainty_score":0.9993896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4211206787049164,"score_gpt":0.4691150739016577,"score_spread":0.04799439519674131,"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."}}