{"id":"W2046047370","doi":"10.1108/13685200310809662","title":"Using confiscated money","year":2003,"lang":"en","type":"article","venue":"Journal of Money Laundering Control","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Restitution; Task force; Convention; Terrorism; Compensation (psychology); Subject (documents); Business; Finance; Law; Economics; Political science; Public administration","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":[0.001085778,0.0001292631,0.0003534953,0.00009690521,0.0003553953,0.0001238963,0.0002100833,0.0001016885,0.00009582181],"category_scores_gemma":[0.0007703918,0.0001223437,0.0001705944,0.0001679232,0.0001482161,0.0004327247,0.000008218624,0.0002728099,0.000004688849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466439,"about_ca_system_score_gemma":0.0004128271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040483,"about_ca_topic_score_gemma":0.0002792881,"domain_scores_codex":[0.9982935,0.0002607204,0.0004139533,0.0001173439,0.0005461099,0.0003684299],"domain_scores_gemma":[0.9986556,0.0002443564,0.0005569273,0.0001206105,0.0002173458,0.0002051272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002066383,0.002109133,0.08753392,0.0002272587,0.003239717,0.001319123,0.1661172,0.03124277,0.3730453,0.2918933,0.02200905,0.01919687],"study_design_scores_gemma":[0.0218358,0.0007673569,0.0158994,0.0008017955,0.0009696709,0.0006047503,0.05957941,0.005029766,0.01782005,0.02145006,0.8528783,0.002363684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395851,0.002049115,0.02947598,0.0008981514,0.001568541,0.0002079211,0.000005730559,0.00004113506,0.02616834],"genre_scores_gemma":[0.9979674,0.0001580092,0.0005458791,0.0002737313,0.0004303297,9.711449e-7,8.635618e-8,0.00001704431,0.0006066035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8308692,"threshold_uncertainty_score":0.4989029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068206577480663,"score_gpt":0.3147368650465664,"score_spread":0.2640547992717598,"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."}}