{"id":"W2786687546","doi":"10.22215/etd/2016-11377","title":"Errors of Commission: EU Accession and the struggle against corruption in Romania","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Organization for Security and Co-operation in Europe; European Commission; National Science Foundation","keywords":"Political science; Accession; Political economy; Language change; Democratization; Elite; Politics; European union; Economic system; Democracy; Sociology; Law; Economics; Economic policy","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":[0.007202236,0.0001506596,0.000450735,0.0009750243,0.004183581,0.008426979,0.0005369257,0.001427828,0.003046014],"category_scores_gemma":[0.02433709,0.00017191,0.0002248627,0.002536718,0.007607914,0.002670342,0.005025442,0.002859252,0.0003674608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00501378,"about_ca_system_score_gemma":0.006024195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006894109,"about_ca_topic_score_gemma":0.008163485,"domain_scores_codex":[0.9943797,0.003580686,0.0002712289,0.00030663,0.0006717393,0.0007900001],"domain_scores_gemma":[0.9936311,0.003134968,0.001774738,0.0003573825,0.0007177206,0.0003841337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002327813,0.0001089698,0.04313207,0.0004107995,0.0000614454,0.001710016,0.1693025,0.002595596,0.000190569,0.6774257,0.01790694,0.08692249],"study_design_scores_gemma":[0.00009242565,0.0001704949,0.1688312,0.005146439,0.00010976,0.001345755,0.2939789,0.002972598,0.001299649,0.1156045,0.4103203,0.0001280842],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076531,0.01641466,0.001192418,0.04736049,0.000719173,0.00003931143,0.00007589127,0.00002086877,0.2265241],"genre_scores_gemma":[0.9912229,0.00311563,0.0001280298,0.0008757063,0.00009010058,0.000008758465,0.00001669563,0.00001126359,0.004530834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008426979,"threshold_uncertainty_score":0.03808951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078635336822772,"score_gpt":0.3179172377360807,"score_spread":0.297130884367853,"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."}}