{"id":"W4404184380","doi":"10.32352/0367-3057.4.24.01","title":"Counterfeit medical products in Ukraine and the world: terminology and definitions, distribution and detection","year":2024,"lang":"en","type":"article","venue":"Farmatsevtychnyi zhurnal","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Terminology; Medical terminology; Distribution (mathematics); Business; Computer science; Traditional medicine; Medicine; History; Philosophy; Linguistics; Mathematics; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220664,0.0001277398,0.0002301978,0.0001298386,0.0001272362,0.00008388305,0.00004191926,0.00009192508,0.00005686294],"category_scores_gemma":[0.0004384226,0.00008701515,0.00002417561,0.0002650912,0.0005459708,0.000133835,0.00007429392,0.0006937171,0.000007155255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004676723,"about_ca_system_score_gemma":0.00006137644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003305074,"about_ca_topic_score_gemma":0.00009126633,"domain_scores_codex":[0.9987777,0.0001534044,0.0003309843,0.0002621637,0.0002449285,0.0002307676],"domain_scores_gemma":[0.9993246,0.0003771869,0.00003558331,0.00008851155,0.00004075638,0.0001334167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005359082,0.000527202,0.02668196,0.005068513,0.0004543581,0.00186251,0.004681066,0.000001861998,0.0110934,0.1106826,0.004083675,0.8295038],"study_design_scores_gemma":[0.03412404,0.001045859,0.2036629,0.006868675,0.001439051,0.06142468,0.00239348,0.1673211,0.008983115,0.02203997,0.4892107,0.001486399],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524414,0.008813652,0.0003986273,0.03697488,0.0002315169,0.0002966847,0.00002717889,0.00007831887,0.0007377499],"genre_scores_gemma":[0.9954489,0.002648182,0.0000305261,0.001469296,0.0002498517,0.00003081145,0.00002058948,0.000009989095,0.00009181725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8280174,"threshold_uncertainty_score":0.3548375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05025986927878057,"score_gpt":0.3452907093403967,"score_spread":0.2950308400616161,"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."}}