{"id":"W2624421610","doi":"10.1016/j.euras.2017.05.001","title":"Sand or grease? Corruption-institutional trust nexus in post-Soviet countries","year":2017,"lang":"en","type":"article","venue":"Journal of Eurasian Studies","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Nexus (standard); Language change; Politics; Instrumental variable; Economics; China; Civil servant; Endogeneity; Ordinary least squares; Government (linguistics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010356,0.00009970236,0.0002950541,0.0001322957,0.00129118,0.0001996422,0.0002901219,0.00004526338,0.0006068729],"category_scores_gemma":[0.001360373,0.000075806,0.00007654198,0.00005184314,0.0005444646,0.0006238816,0.00006309821,0.0001326153,0.0000632891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730932,"about_ca_system_score_gemma":0.0007443569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574065,"about_ca_topic_score_gemma":0.004769373,"domain_scores_codex":[0.9989094,0.00005404063,0.0004487596,0.0001047543,0.0002742855,0.0002087715],"domain_scores_gemma":[0.9988449,0.0001001638,0.0005006804,0.0001082039,0.0003405222,0.0001055701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001535818,0.0003237811,0.7171497,0.00008660245,0.0006843398,0.0010621,0.1164235,0.0001131285,0.00003043783,0.02695707,0.01802406,0.1176095],"study_design_scores_gemma":[0.001505338,0.0001096066,0.6845281,0.0002050814,0.00003374063,0.00009125065,0.0635642,0.000009361926,0.000004472638,0.0006078992,0.2491314,0.0002095839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570598,0.001940611,0.00004435573,0.02581606,0.005135444,0.0002200203,0.00002059612,0.00001846459,0.1097446],"genre_scores_gemma":[0.9923055,0.002936436,0.0001659523,0.0003704683,0.0005093543,0.00000307383,6.124115e-7,0.000004409777,0.003704248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311073,"threshold_uncertainty_score":0.9930847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09745709844637389,"score_gpt":0.3971893960949127,"score_spread":0.2997322976485388,"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."}}