{"id":"W3085108930","doi":"10.1186/s40545-020-00256-w","title":"The Urgent Need for Transparent and Accountable Procurement of Medicine and Medical Supplies in Times of COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Policy and Practice","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Center for Substance Abuse Prevention; Leslie Dan Faculty of Pharmacy, University of Toronto; University of Toronto","keywords":"Transparency (behavior); Procurement; Pandemic; Language change; Business; Accountability; Coronavirus disease 2019 (COVID-19); Public health; Quality (philosophy); Public relations; Political science; Medicine; Marketing; Infectious disease (medical specialty); Law; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03355167,0.0002865045,0.0006643109,0.0009899504,0.005616264,0.01713999,0.001846867,0.017863,0.01278457],"category_scores_gemma":[0.06255624,0.0006012549,0.0007466787,0.001028366,0.01114105,0.01811907,0.009088416,0.02406028,0.002037802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007911782,"about_ca_system_score_gemma":0.0545964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014364,"about_ca_topic_score_gemma":0.01032811,"domain_scores_codex":[0.9764474,0.01203497,0.001100914,0.001210043,0.004271206,0.004935424],"domain_scores_gemma":[0.9146975,0.03299927,0.01420493,0.003716623,0.009984389,0.02439735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001488478,0.0003017205,0.007898716,0.0009944604,0.00006675043,0.001697269,0.00922662,0.002220979,0.002703332,0.6007417,0.2799384,0.09406127],"study_design_scores_gemma":[0.00006730191,0.0001614387,0.01247881,0.002677097,0.00003302387,0.001342536,0.01476854,0.002580651,0.001346367,0.3536673,0.6106849,0.0001920027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004960836,0.002066902,0.002918595,0.978582,0.001157368,0.00001996418,0.00003023329,0.00004278096,0.01022133],"genre_scores_gemma":[0.4447848,0.011822,0.01696763,0.5098742,0.006956809,0.0001354048,0.0001278621,0.0001412563,0.0091899],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03355167,"threshold_uncertainty_score":0.1774403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2073102826901303,"score_gpt":0.5054002274900211,"score_spread":0.2980899447998908,"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."}}