{"id":"W4412281023","doi":"","title":"How can we fight many faces of corruption in the EU Public Procurement?","year":2018,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Procurement; Language change; Business; Face (sociological concept); Political science; Law and economics; International trade; Political economy; Economics; Marketing; Sociology; Art; Social science; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002615525,0.000199461,0.0003597476,0.0006003137,0.001080756,0.0001578986,0.002510837,0.0001245781,0.0756108],"category_scores_gemma":[0.000172349,0.0001740687,0.0001605898,0.002137509,0.001182256,0.001861238,0.001168628,0.0003285273,0.006526679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711449,"about_ca_system_score_gemma":0.0002534557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003271216,"about_ca_topic_score_gemma":0.008889122,"domain_scores_codex":[0.9973281,0.0003008907,0.0001914023,0.0003627065,0.001213894,0.0006029837],"domain_scores_gemma":[0.9976526,0.0001724985,0.0004400538,0.0006312929,0.001055554,0.00004795822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003600006,0.000195409,0.0001407633,0.0002831343,0.0001034641,0.00002211921,0.003277468,0.000002811585,0.002966886,0.007435373,0.9819064,0.003306197],"study_design_scores_gemma":[0.001170526,0.0001233073,0.009607146,0.00009221208,0.00006172844,0.000001473057,0.0174886,0.0003540778,0.0006857234,0.00008832041,0.9701493,0.0001775288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5105444,0.001648792,0.0004393508,0.06353064,0.0001241797,0.001986364,0.00006521289,0.0000512659,0.4216098],"genre_scores_gemma":[0.8507044,0.0001440137,0.00005535736,0.0001487096,0.0001069652,3.582528e-7,0.00004188837,0.00001171627,0.1487866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.34016,"threshold_uncertainty_score":0.9942468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08523906324514764,"score_gpt":0.2691419381208082,"score_spread":0.1839028748756605,"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."}}