{"id":"W3119817611","doi":"10.5267/j.ac.2020.12.018","title":"Cost of corruption and efficiency in employment of firms: The case in Vietnam","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vietnamese; Business; Language change; Order (exchange); Revenue; Equity (law); Value (mathematics); Estimation; Affect (linguistics); Labour economics; Finance; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361443,0.0001169322,0.0002461732,0.000872755,0.001090323,0.001948581,0.000303703,0.0003801365,0.001691803],"category_scores_gemma":[0.005223192,0.0001432592,0.0001878986,0.001293604,0.001459857,0.000959224,0.0009297476,0.0006024956,0.0001027129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003987177,"about_ca_system_score_gemma":0.001559446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07125744,"about_ca_topic_score_gemma":0.07514917,"domain_scores_codex":[0.9983945,0.0007795242,0.00006991759,0.00007702892,0.0002116457,0.0004674599],"domain_scores_gemma":[0.9923502,0.00280085,0.00297284,0.0002665221,0.0008199174,0.0007896639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008102589,0.0001836421,0.9669438,0.00004419511,0.00004816877,0.001277722,0.00581822,0.001716644,0.0001584305,0.009451928,0.0004191562,0.01385715],"study_design_scores_gemma":[0.000008590229,0.00007061781,0.9751815,0.00009305342,0.00002937585,0.0005502859,0.01635951,0.003922333,0.0002032406,0.001690926,0.00187545,0.00001503979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997106,0.0002201063,0.0001035155,0.0004073504,0.000002058312,0.000005156227,0.00002447923,6.174855e-7,0.002130711],"genre_scores_gemma":[0.999718,0.00007671728,0.00002022917,0.00001007733,0.000001828135,0.000001068363,0.000008525613,4.000475e-7,0.000163144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07125744,"threshold_uncertainty_score":0.1416854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04197430061914161,"score_gpt":0.3186928901654773,"score_spread":0.2767185895463357,"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."}}