{"id":"W4229578811","doi":"10.33423/jabe.v21i7.2543","title":"When More Democracy Means More Inequality: A Path Analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Democracy; Inequality; Authoritarianism; Per capita; Economics; Economic inequality; Development economics; Language change; Per capita income; Demographic economics; Political science; Sociology; Demography; Mathematics","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":[0.003866148,0.0006281814,0.0004432597,0.002500024,0.0005134724,0.001960081,0.0004217936,0.000575583,0.01093415],"category_scores_gemma":[0.0119614,0.0002497316,0.0009905451,0.003820632,0.0009313054,0.001449064,0.001398478,0.001353394,0.0004669088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006691939,"about_ca_system_score_gemma":0.001334615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003200452,"about_ca_topic_score_gemma":0.001732699,"domain_scores_codex":[0.9979335,0.001283919,0.00007802822,0.0003517673,0.0001749516,0.0001778293],"domain_scores_gemma":[0.9867094,0.01066078,0.001326832,0.0003034118,0.000617686,0.000381964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009252257,0.0006086631,0.8970535,0.0002758093,0.001213292,0.0005448576,0.0048958,0.01568429,0.001558126,0.03393068,0.00410833,0.03920155],"study_design_scores_gemma":[0.0002701162,0.001885982,0.735338,0.000257488,0.000738865,0.0007333444,0.009339469,0.1938443,0.001247313,0.04763315,0.008521483,0.000190452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978093,0.0001493024,0.01268697,0.0009425085,0.00004927004,0.0002925197,0.003025258,0.00009490512,0.004666169],"genre_scores_gemma":[0.9914895,0.0001390286,0.006273581,0.00004749212,0.00001359689,0.0002748697,0.0009171999,0.00002139425,0.000823352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093415,"threshold_uncertainty_score":0.03657836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973518638165778,"score_gpt":0.2565454979126165,"score_spread":0.2368103115309587,"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."}}