{"id":"W1522546273","doi":"10.3386/w19019","title":"Offshore jurisdictions (including Cyprus), corruption money laundering and Russian round-trip investment","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Money laundering; Language change; Investment (military); Business; Real estate; Foreign direct investment; Submarine pipeline; Economy; Financial system; Finance; Monetary economics; Economics; Political science; Engineering; Macroeconomics; Law; Politics","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":[0.0002723506,0.0001480141,0.0001726124,0.0006827836,0.0002686439,0.0008872945,0.0001400446,0.0001885337,0.002618205],"category_scores_gemma":[0.0022263,0.00008482123,0.0001553697,0.0008912588,0.0003308365,0.0003882408,0.0005778978,0.0003496199,0.000322637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360481,"about_ca_system_score_gemma":0.0003498866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548223,"about_ca_topic_score_gemma":0.02624432,"domain_scores_codex":[0.9997726,0.00004515981,0.00002169438,0.00003205243,0.00004916528,0.00007930958],"domain_scores_gemma":[0.9946173,0.0007971968,0.003876256,0.0001523231,0.0002595857,0.0002974794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003382929,0.00001576588,0.9946712,0.00001504464,0.00002893225,0.000145227,0.0002474139,0.0005033559,0.0001519607,0.0004144982,0.0002451928,0.00352752],"study_design_scores_gemma":[9.827273e-7,0.00001264281,0.9980653,0.00001021819,0.00001385003,0.00007073683,0.0005418926,0.0005469613,0.0001281393,0.00006040687,0.00054631,0.000002405893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970386,0.0001111107,0.0001248057,0.00005914066,0.00000194878,0.000003322361,0.0002729064,0.000004037413,0.002384268],"genre_scores_gemma":[0.9988954,0.00009920835,0.00005917874,0.000005862977,0.000003400753,0.00000258284,0.0002999215,0.000001144515,0.0006331638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548223,"threshold_uncertainty_score":0.03078419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4974034685699095,"score_gpt":0.5351636640129005,"score_spread":0.03776019544299103,"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."}}