{"id":"W3132120580","doi":"","title":"국내외 제도 비교를 통한 폐의약품 관리 개선 방안","year":2019,"lang":"ko","type":"article","venue":"한국임상약학회지","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Enforcement; Variety (cybernetics); Legislation; Environmental planning; Political science; Law; Geography","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":[0.00109118,0.0001403068,0.0001109613,0.0004917826,0.0008225075,0.001190353,0.0003072667,0.0002527391,0.005773348],"category_scores_gemma":[0.001778537,0.0000704804,0.0001167781,0.001260626,0.0008260125,0.0007544143,0.0006656512,0.0003015728,0.0005659633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112836,"about_ca_system_score_gemma":0.003709427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005519138,"about_ca_topic_score_gemma":0.01006795,"domain_scores_codex":[0.9987459,0.000492221,0.0001256267,0.0001363985,0.0003317154,0.0001680837],"domain_scores_gemma":[0.996917,0.0006329647,0.001468504,0.0001106163,0.0005832993,0.0002876066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003023274,0.0007527954,0.6316478,0.003189017,0.00008167239,0.001280848,0.01371791,0.0006528696,0.007617145,0.006511163,0.005631989,0.3286145],"study_design_scores_gemma":[0.0000146904,0.0009783973,0.777257,0.001099169,0.0001032073,0.002978449,0.07271176,0.0004863256,0.009039416,0.001354201,0.1339336,0.00004377686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758701,0.001618867,0.00146137,0.002048645,0.00002310651,0.00006784525,0.0002603983,0.00002197998,0.01862763],"genre_scores_gemma":[0.9927085,0.001963608,0.00140592,0.0005524498,0.00001540263,0.0000308973,0.000167589,0.000005752677,0.003149803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005773348,"threshold_uncertainty_score":0.01931375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145827867802283,"score_gpt":0.4972539718307402,"score_spread":0.3514261040284572,"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."}}