{"id":"W3121755446","doi":"10.1016/j.jdeveco.2007.02.003","title":"How corruption hits people when they are down","year":2007,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Misfortune; Language change; Criminology; Political science; Business; Economics; Psychology","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":[0.002029324,0.000297498,0.0005211415,0.001368513,0.003674029,0.00744543,0.0003432396,0.002841656,0.02025532],"category_scores_gemma":[0.01700008,0.0003324467,0.0004107594,0.001129598,0.003498691,0.00456404,0.002139541,0.004101684,0.003599014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000623,"about_ca_system_score_gemma":0.001273748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009446858,"about_ca_topic_score_gemma":0.01149934,"domain_scores_codex":[0.9962226,0.00179963,0.0001038279,0.0002088432,0.000762647,0.0009024439],"domain_scores_gemma":[0.9893978,0.002667108,0.002009647,0.0005160817,0.002451143,0.002958274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005927435,0.0006189749,0.2680341,0.0003865278,0.0005755843,0.001269523,0.05078331,0.001317671,0.001800782,0.1790238,0.3424687,0.1531282],"study_design_scores_gemma":[0.0001022736,0.0004069869,0.2870316,0.001022788,0.000403384,0.001298601,0.1321527,0.001933261,0.001762233,0.2750254,0.298568,0.0002927726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5072038,0.00539634,0.002969659,0.1864683,0.003072904,0.00005053694,0.0006533627,0.0001396756,0.2940454],"genre_scores_gemma":[0.9623954,0.001318333,0.0003175194,0.01256278,0.0003576025,0.00001970593,0.0001150877,0.00006963544,0.02284385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02025532,"threshold_uncertainty_score":0.06776083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861329376135136,"score_gpt":0.2566383369718528,"score_spread":0.2280250432105014,"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."}}