{"id":"W2514000486","doi":"10.5539/jpl.v9n7p57","title":"Money Laundering Crime and Its Situational Prevention in Iranian Law and International Law","year":2016,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Criminology; Business; Cash; Law; Crime prevention; Criminal law; Political science; Finance; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003041119,0.00005276849,0.000100173,0.00003102959,0.0001515775,0.00008005973,0.00005293473,0.00004340986,0.0000251303],"category_scores_gemma":[0.00005014539,0.00004203036,0.00002198214,0.00002014011,0.0001927534,0.0004949305,0.00002327734,0.00006720055,4.761525e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007066513,"about_ca_system_score_gemma":0.00004307048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126014,"about_ca_topic_score_gemma":0.007263359,"domain_scores_codex":[0.9993834,0.00003991857,0.0001770599,0.00007135685,0.0001977535,0.0001304655],"domain_scores_gemma":[0.9995745,0.0001153834,0.000120322,0.00002394923,0.00007319573,0.00009260237],"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":[0.000008634307,0.00002371917,0.0006316722,0.000006243672,0.00001116136,0.000003568495,0.002466284,4.105183e-7,0.0004793544,0.9959509,0.00002492889,0.000393168],"study_design_scores_gemma":[0.002942871,0.0002255841,0.04450958,0.000559193,0.00004976243,0.00009635738,0.004274441,0.00009331323,0.001267315,0.7512751,0.1943554,0.0003511626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381694,0.000588499,0.00009292313,0.002959484,0.000236452,0.00004999398,0.00001703361,0.000003833857,0.05788243],"genre_scores_gemma":[0.997479,0.0004934036,0.00008110518,0.0004513173,0.0003037869,4.895685e-7,2.866285e-7,0.000003940369,0.001186711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2446758,"threshold_uncertainty_score":0.4053125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03725113384303099,"score_gpt":0.3209446709257205,"score_spread":0.2836935370826896,"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."}}