{"id":"W4404208441","doi":"10.1136/bmjgh-2024-015136","title":"A comparative analysis of supply chain factors impacting COVID-19 vaccine security in high-income countries (HICs) and low-income and middle-income countries (LMICs)","year":2024,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"","keywords":"Low and middle income countries; Low income; Middle income; Coronavirus disease 2019 (COVID-19); High income countries; Business; Economic growth; Economics; Environmental health; Developing country; Demographic economics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002331187,0.000348421,0.0003119906,0.002468531,0.0004112365,0.001248655,0.0002468515,0.0003434549,0.002397089],"category_scores_gemma":[0.00594259,0.0001814231,0.000655062,0.004853233,0.0005848458,0.0009072173,0.000987297,0.0003794319,0.000178044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290699,"about_ca_system_score_gemma":0.00152042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083086,"about_ca_topic_score_gemma":0.01756175,"domain_scores_codex":[0.9991347,0.0003300351,0.00006910263,0.0001182954,0.0001074178,0.0002404593],"domain_scores_gemma":[0.9935632,0.00279615,0.002058486,0.0001694896,0.001036728,0.0003759875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000113443,0.00002470698,0.9955967,0.00004314052,0.0001137529,0.00008977993,0.0004301599,0.001205526,0.0001573034,0.0003240755,0.0001333355,0.00176814],"study_design_scores_gemma":[0.000004964582,0.0001780019,0.9919938,0.0000452009,0.00007312006,0.00004375143,0.004168091,0.002768158,0.0001530472,0.0001548052,0.0004090033,0.000007944107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987671,0.00009506554,0.0001540776,0.00003960711,0.000002353498,0.00001247766,0.0004503773,0.000001702893,0.0004772231],"genre_scores_gemma":[0.9990293,0.00006830325,0.0001292058,0.000008262971,0.000002377159,0.0000114139,0.000680738,0.000001391213,0.00006908533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02083086,"threshold_uncertainty_score":0.04141927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860306968411788,"score_gpt":0.3575245006065805,"score_spread":0.3189214309224627,"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."}}