{"id":"W1969767498","doi":"10.1108/13590791011056282","title":"Asset recovery and kleptocracy","year":2010,"lang":"en","type":"article","venue":"Journal of Financial Crime","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Originality; Language change; Asset (computer security); Money laundering; Value (mathematics); Perspective (graphical); Business; Economics; Law and economics; Political science; Finance; Law; Computer security; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008728813,0.00009042922,0.0002236307,0.00007654459,0.0003075099,0.0001021931,0.0002053109,0.000131813,0.0001671135],"category_scores_gemma":[0.001817968,0.00008347523,0.0001070937,0.0001252392,0.0002173909,0.00069304,0.00002534495,0.0004911922,0.00001134532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004603432,"about_ca_system_score_gemma":0.0005984156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304114,"about_ca_topic_score_gemma":0.002281374,"domain_scores_codex":[0.9989318,0.0000573834,0.0002799771,0.0001006807,0.000389543,0.0002405759],"domain_scores_gemma":[0.9989963,0.0001965395,0.0003733386,0.00009482572,0.0001925811,0.0001463818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006730853,0.0005691676,0.03844365,0.0000597691,0.00006564218,0.000292359,0.02470756,0.000003516275,0.04253147,0.1702982,0.3060724,0.4162831],"study_design_scores_gemma":[0.0003542645,0.0001665745,0.1699964,0.00003066858,0.00002416367,0.00003841599,0.0003919354,9.550766e-7,0.001053704,0.01226932,0.8155157,0.0001579377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669939,0.0003233177,0.0001003406,0.001199794,0.002341378,0.00006499475,0.00001061299,0.00001065037,0.02895507],"genre_scores_gemma":[0.9935381,0.0004004076,0.0006580339,0.0003835642,0.00259066,8.886475e-7,2.65384e-7,0.000008796353,0.002419294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5094432,"threshold_uncertainty_score":0.3404021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380616734852021,"score_gpt":0.2928018351200544,"score_spread":0.2789956677715342,"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."}}