{"id":"W251568020","doi":"10.2139/ssrn.1779834","title":"Repairing Social Damage Out of Corruption Cases: Opportunities and Challenges as Illustrated in the Alcatel Case in Costa Rica","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Language change; Political science; Criminology; Sociology; Philosophy","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":[0.007775171,0.0003999096,0.0005617327,0.002454044,0.01062537,0.008211515,0.002853333,0.006334835,0.004192143],"category_scores_gemma":[0.02009359,0.0003296533,0.0006078806,0.002083031,0.01128555,0.003842536,0.00952518,0.003228655,0.0003929145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005450622,"about_ca_system_score_gemma":0.01269408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06528975,"about_ca_topic_score_gemma":0.1269772,"domain_scores_codex":[0.994122,0.002598803,0.0001474037,0.0003141041,0.0006712473,0.002146471],"domain_scores_gemma":[0.9899975,0.003905146,0.001556661,0.00187951,0.001385276,0.001275927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.000217252,0.0007500169,0.07625664,0.0005184332,0.0002408058,0.01340508,0.06463543,0.01620951,0.002441625,0.65638,0.03358002,0.1353652],"study_design_scores_gemma":[0.0003228334,0.0005156079,0.1679053,0.002054787,0.0004792048,0.005391845,0.186509,0.03114091,0.004655389,0.3527394,0.2479697,0.0003158895],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.732748,0.002599051,0.008694969,0.0436748,0.0001239547,0.0003135079,0.0001053347,0.0001693371,0.211571],"genre_scores_gemma":[0.9927068,0.0004069744,0.0006835863,0.001057936,0.00004073932,0.0000410483,0.00001757292,0.00001352218,0.005031757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06528975,"threshold_uncertainty_score":0.1298194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0886849283143635,"score_gpt":0.26045896447023,"score_spread":0.1717740361558665,"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."}}