{"id":"W1581663043","doi":"","title":"마약류 보상금제도의 운영실태와 개선방안","year":2006,"lang":"ko","type":"article","venue":"형사정책연구원 연구총서","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Treasury; Finance; Business; Government (linguistics); Sanctions; Asset (computer security); Economics; Law; Political science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023976,0.0004570385,0.0003067477,0.001078485,0.002569272,0.00462536,0.0007519184,0.001251748,0.1902023],"category_scores_gemma":[0.003290856,0.0002236574,0.0004464134,0.001056817,0.0009794212,0.002468877,0.001643792,0.001517142,0.1024272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025795,"about_ca_system_score_gemma":0.003416563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007163704,"about_ca_topic_score_gemma":0.008576034,"domain_scores_codex":[0.9985794,0.00025189,0.00008788813,0.0003021291,0.0005342066,0.0002445445],"domain_scores_gemma":[0.9980434,0.000200705,0.0001835402,0.0001866245,0.001063109,0.0003225956],"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":[0.0001412509,0.0001359827,0.006940045,0.0004772136,0.00003004942,0.0005239884,0.001831233,0.0003748292,0.001905799,0.1178857,0.5324551,0.3372988],"study_design_scores_gemma":[0.000008875724,0.00003327986,0.003451234,0.0001353715,0.000009969201,0.0003350908,0.00089911,0.0002679625,0.0006274007,0.007035876,0.987178,0.00001780449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01068924,0.002660086,0.006435805,0.01127501,0.002553172,0.0002875488,0.001466481,0.0006023952,0.9640301],"genre_scores_gemma":[0.1295298,0.005189933,0.007559123,0.005683609,0.0009909229,0.0002251513,0.002827504,0.0002406393,0.8477532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1902023,"threshold_uncertainty_score":0.6362901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006122922810206615,"score_gpt":0.2121354563152326,"score_spread":0.2060125335050259,"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."}}