{"id":"W2043676704","doi":"10.1186/1744-8603-5-14","title":"Transparency in Nigeria's public pharmaceutical sector: perceptions from policy makers","year":2009,"lang":"en","type":"article","venue":"Globalization and Health","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tobacco Research Unit; University of Toronto","funders":"","keywords":"Transparency (behavior); Language change; Business; Public health; Vulnerability (computing); Counterfeit; Counterfeit Drugs; Public sector; Pharmaceutical industry; Procurement; Developing country; Public economics; Medicine; Economic growth; Marketing; Nursing; Economics; Political science; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01206074,0.0002656433,0.0003610133,0.001097259,0.008248673,0.008011778,0.0004740865,0.002834913,0.003203104],"category_scores_gemma":[0.01232077,0.0004029,0.0002541976,0.001344462,0.006452304,0.003617794,0.003333048,0.004366483,0.0002036818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005841653,"about_ca_system_score_gemma":0.009716067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007517964,"about_ca_topic_score_gemma":0.007297577,"domain_scores_codex":[0.9931706,0.003524885,0.0003685258,0.0002337003,0.001341136,0.001361114],"domain_scores_gemma":[0.9803053,0.0115456,0.004426959,0.0002195552,0.001167142,0.002335492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001169084,0.0002392262,0.08932581,0.0007683017,0.0000170138,0.001944001,0.8680544,0.0001681772,0.002168373,0.01253715,0.003323617,0.02133702],"study_design_scores_gemma":[0.000008932283,0.0001148102,0.02558371,0.000547801,0.00001007119,0.000340707,0.9531106,0.0001337631,0.0003208629,0.001137804,0.01866625,0.00002467247],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548626,0.002603927,0.0002277099,0.02410062,0.0001359187,0.00006612088,0.00003317185,0.00000440278,0.0179655],"genre_scores_gemma":[0.9957265,0.001380723,0.00008461183,0.00199207,0.00003384726,0.00001401895,0.000007543017,0.00000195505,0.000758838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206074,"threshold_uncertainty_score":0.06378406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.135015621747972,"score_gpt":0.4532253536639934,"score_spread":0.3182097319160213,"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."}}