{"id":"W4412414338","doi":"10.1007/s13132-025-02790-x","title":"Corruption and Misery: What Lessons for Developing Countries?","year":2025,"lang":"en","type":"article","venue":"Journal of the Knowledge Economy","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Entrepreneurship; Language change; Developing country; Development economics; Business; Political science; Economics; Economic growth; Finance","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":[0.005548277,0.0005990509,0.001373523,0.001922559,0.002632822,0.01241715,0.0008881476,0.007183467,0.01460561],"category_scores_gemma":[0.01829313,0.0002652429,0.0007237624,0.003835758,0.01524641,0.01920704,0.003140165,0.006323619,0.0008704259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005415014,"about_ca_system_score_gemma":0.01309629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109966,"about_ca_topic_score_gemma":0.0264976,"domain_scores_codex":[0.9974579,0.001299378,0.00007856316,0.0001569106,0.0002818329,0.000725375],"domain_scores_gemma":[0.9789094,0.01104894,0.003217036,0.0007337661,0.003671186,0.002419703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003631801,0.0002984038,0.02390358,0.002044503,0.0001940911,0.0009652427,0.00786724,0.001769948,0.0001203885,0.7002503,0.1447698,0.1174533],"study_design_scores_gemma":[0.0001459578,0.0001335038,0.02337228,0.00722674,0.0001688605,0.0005741928,0.04466885,0.0009346906,0.0002347638,0.7610663,0.1613376,0.0001361855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0187901,0.1280744,0.0008658146,0.8256558,0.001932609,0.00001672396,0.0002493595,0.00001608785,0.02439912],"genre_scores_gemma":[0.7005785,0.2236288,0.0007085002,0.06217825,0.006316059,0.00004541081,0.0001364343,0.00002883702,0.006379356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02109966,"threshold_uncertainty_score":0.04886061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209089985117261,"score_gpt":0.348002900277431,"score_spread":0.3059120004262584,"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."}}