{"id":"W2151465389","doi":"","title":"The health and economic effects of counterfeit drugs.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Counterfeit Drugs; Business; Medicine; Data science; Computer science; Political science","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":[0.00243568,0.0005705112,0.0009510941,0.006711348,0.0003995352,0.00217124,0.0005366878,0.002308997,0.00714311],"category_scores_gemma":[0.008974429,0.0002480099,0.001053704,0.006418127,0.001000233,0.001759011,0.0006297223,0.0009948802,0.0007082128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835325,"about_ca_system_score_gemma":0.002646351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003563406,"about_ca_topic_score_gemma":0.005260221,"domain_scores_codex":[0.9979957,0.0005558759,0.0003575995,0.0001578338,0.0008369305,0.00009604038],"domain_scores_gemma":[0.9897282,0.006219716,0.003030369,0.00009363275,0.000822863,0.0001053879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003208777,0.0001072607,0.007536475,0.1713069,0.001114835,0.00173536,0.0003761299,0.0006284728,0.000798425,0.0129228,0.05939718,0.7437554],"study_design_scores_gemma":[0.0001004991,0.0005401711,0.03402297,0.1899215,0.002110458,0.009896605,0.001121618,0.0004174246,0.00122047,0.008109293,0.7524598,0.00007922646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0008373292,0.9935613,0.00004106202,0.002177719,0.0002287819,0.00001136813,0.0001647465,0.000002282103,0.002975398],"genre_scores_gemma":[0.01494651,0.9817901,0.0002581679,0.001889759,0.0004749218,0.00002057447,0.000123905,0.000001879412,0.0004940638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00714311,"threshold_uncertainty_score":0.0238961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360792993659617,"score_gpt":0.2994354239342808,"score_spread":0.2758274939976846,"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."}}