{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005513618,0.0001909005,0.000187044,0.001010576,0.0009084585,0.001353313,0.0002508037,0.0007196444,0.01574261],"category_scores_gemma":[0.0005751046,0.0002631994,0.0003689347,0.0007140607,0.001168307,0.0006310876,0.000490139,0.0006933163,0.002973501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102231,"about_ca_system_score_gemma":0.001506268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806224,"about_ca_topic_score_gemma":0.007405408,"domain_scores_codex":[0.9995944,0.00008084576,0.00002459808,0.00005458229,0.0001823918,0.00006319537],"domain_scores_gemma":[0.9996767,0.00006913907,0.0000743443,0.00004208284,0.0001079795,0.00002981625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001656995,0.00009693153,0.003505806,0.001617107,0.00006758745,0.00136909,0.002252113,0.001040691,0.1057137,0.4576077,0.01026025,0.4163035],"study_design_scores_gemma":[0.00002287205,0.0001810877,0.0115854,0.0004399721,0.00008923066,0.001667478,0.001301125,0.0003583261,0.04738539,0.042851,0.8940615,0.00005660185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1224304,0.1123681,0.04859253,0.01291296,0.001821425,0.0002592993,0.0009926228,0.0003193332,0.7003033],"genre_scores_gemma":[0.7926991,0.04295788,0.04234241,0.0009452058,0.0004458377,0.0001823836,0.000375812,0.00007778821,0.1199736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01574261,"threshold_uncertainty_score":0.05266422,"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."}}