{"id":"W2595864349","doi":"","title":"Cyber Laundering: An Analysis of Typology and Techniques","year":2008,"lang":"en","type":"article","venue":"International Journal of Criminal Justice Sciences","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Cyberspace; Law enforcement; Money laundering; Order (exchange); Enforcement; Business; Internet privacy; Computer security; Law; Finance; Political science; Computer science; World Wide Web","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":[0.0003890714,0.00007401295,0.0002014053,0.0005931233,0.0001294904,0.00004989179,0.000935379,0.00002378227,0.00001749739],"category_scores_gemma":[0.0001060017,0.00005659923,0.00008138753,0.0003517598,0.0004770976,0.0008200109,0.0001682101,0.00007292545,5.643657e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002074106,"about_ca_system_score_gemma":0.00008051753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009953274,"about_ca_topic_score_gemma":0.00003347587,"domain_scores_codex":[0.9987614,0.00003859445,0.0003598971,0.0001424253,0.0005839978,0.0001136417],"domain_scores_gemma":[0.9989477,0.0001448459,0.0002850571,0.00008932256,0.0004760222,0.00005699662],"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":[0.0001975021,0.0006897649,0.02710181,0.0000746329,0.002493894,0.0004854293,0.04930638,0.003047003,0.01759604,0.8442289,0.000926109,0.05385258],"study_design_scores_gemma":[0.002856113,0.01163079,0.6121618,0.0004493447,0.01648797,0.009461331,0.1248368,0.06558007,0.1225933,0.02100888,0.01070554,0.002228092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357561,0.0002128989,0.05938511,0.0003822489,0.0004453596,0.00002256041,0.000001272359,0.00001279444,0.003781661],"genre_scores_gemma":[0.9768588,0.000331309,0.02241516,0.0002645466,0.00009124597,5.010868e-7,3.019413e-7,0.000001436148,0.00003668033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.82322,"threshold_uncertainty_score":0.2308049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06461751377662919,"score_gpt":0.3586163771075424,"score_spread":0.2939988633309132,"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."}}