{"id":"W25109459","doi":"10.1016/j.jep.2014.07.058","title":"5. 4. Некоторые проблемы уголовно-правовой борьбы с легализацией (отмыванием) денежных средств или иного имущества, приобретенных преступным путем","year":2010,"lang":"ru","type":"article","venue":"Пробелы в российском законодательстве. Юридический журнал","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Legislation; Money laundering; Law; Criminal law; Business; Political science; Law and economics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.007118201,0.005026818,0.005381153,0.001732985,0.006807655,0.004050825,0.008255298,0.005044222,0.0194705],"category_scores_gemma":[0.003897172,0.005486429,0.003524427,0.00600867,0.006987204,0.005930461,0.002432472,0.00953265,0.01344442],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019977,"about_ca_system_score_gemma":0.006018601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04103459,"about_ca_topic_score_gemma":0.05701749,"domain_scores_codex":[0.9685497,0.002273566,0.005548796,0.006525834,0.007769373,0.009332705],"domain_scores_gemma":[0.9791133,0.003114528,0.004605605,0.006648856,0.002071099,0.004446601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002566603,0.009412725,0.02756536,0.002501074,0.003286827,0.002009456,0.1053848,0.0003120006,0.05230523,0.1767784,0.4187402,0.1991373],"study_design_scores_gemma":[0.006132568,0.00114026,0.01797714,0.00105189,0.001282015,0.0002763546,0.02290778,0.0008594972,0.006868823,0.01042107,0.923319,0.007763616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6217744,0.009079668,0.001611436,0.01565166,0.03967122,0.005757244,0.00276108,0.003000941,0.3006923],"genre_scores_gemma":[0.8728936,0.005213244,0.001784013,0.004899803,0.0175186,0.0005587437,0.0003896873,0.001068013,0.09567429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5045788,"threshold_uncertainty_score":0.9996163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732748405438253,"score_gpt":0.2954640662711703,"score_spread":0.2781365822167878,"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."}}