{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002796322,0.0001020596,0.0002164433,0.0001096008,0.0001070001,0.00003524274,0.00003974682,0.00006958447,0.0004089452],"category_scores_gemma":[0.00004461242,0.0001008722,0.00003305601,0.0003767531,0.00004242417,0.0001027614,0.000006650614,0.0001611736,0.0000155457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269589,"about_ca_system_score_gemma":0.0002999003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003118597,"about_ca_topic_score_gemma":0.0003030388,"domain_scores_codex":[0.998833,0.0001041302,0.0003414661,0.000218231,0.0001822564,0.0003208916],"domain_scores_gemma":[0.9994192,0.00001639451,0.00004165249,0.00009475118,0.00003568452,0.0003922872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004895154,0.001687531,0.5456693,0.0004691339,0.00006265048,0.00003481537,0.01025049,0.00002113071,0.002128292,0.1510444,0.005638909,0.2825039],"study_design_scores_gemma":[0.00400163,0.0002472744,0.9539158,0.0001973888,0.00002213693,0.00003313037,0.001147673,0.003875173,0.00003498757,0.004459368,0.03185201,0.0002134641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6780924,0.001899594,0.01275449,0.2916565,0.0001553282,0.0007042022,0.000131223,0.0002302274,0.01437602],"genre_scores_gemma":[0.9518276,0.001566746,0.0001801223,0.04606324,0.0001851165,0.000003627287,0.0001391902,0.000005308023,0.00002902761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4082465,"threshold_uncertainty_score":0.4477663,"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."}}