{"id":"W6977348611","doi":"10.6084/m9.figshare.28558040","title":"Additional file 1 of Corruption risks in COVID-19 vaccine deployment: lessons learned for future pandemic preparedness","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Preparedness; Government (linguistics); Language change; Coronavirus disease 2019 (COVID-19)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004165941,0.0007679372,0.001019053,0.002522428,0.0008787024,0.002257721,0.001944171,0.001885917,0.8955581],"category_scores_gemma":[0.07540843,0.0005659736,0.001141263,0.004884017,0.0003404503,0.003292817,0.001390824,0.00162858,0.2187371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017523,"about_ca_system_score_gemma":0.004260702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211398,"about_ca_topic_score_gemma":0.03311787,"domain_scores_codex":[0.9983096,0.0005427049,0.0002582177,0.0002735643,0.0003994612,0.0002164163],"domain_scores_gemma":[0.9372054,0.04896967,0.002789843,0.002260438,0.007399932,0.001374686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007825636,0.00003404594,0.0012715,0.000665548,0.00001970924,0.00002443616,0.00003091434,0.0002291862,0.000006932398,0.0008087847,0.9918587,0.004972015],"study_design_scores_gemma":[0.00335276,0.000250041,0.04101837,0.00828298,0.0002613019,0.0004258732,0.002172027,0.00471608,0.0002981251,0.03889178,0.9000931,0.0002377056],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002132094,0.00005979379,0.0004022921,0.001073059,0.00011802,0.00008496223,0.9947124,0.0001988951,0.003137459],"genre_scores_gemma":[0.02658682,0.0005934766,0.009733411,0.004152199,0.0004569031,0.002684841,0.9193675,0.001276358,0.03514848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8955581,"threshold_uncertainty_score":0.1489736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1664886156907987,"score_gpt":0.4397334908169755,"score_spread":0.2732448751261768,"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."}}