{"id":"W4210250080","doi":"10.1016/s1473-3099(22)00028-7","title":"COVID-19 vaccine inequity, dependency, and production capability in low-income and middle-income countries: the case of Bangladesh","year":2022,"lang":"en","type":"article","venue":"The Lancet Infectious Diseases","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Research Nova Scotia; Genome Canada; Dalhousie Medical Research Foundation; Canadian Institutes of Health Research; Li Ka Shing Foundation","keywords":"Vaccination; Government (linguistics); Public health; Population; Global health; Developing country; Workforce","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":[0.000886371,0.0002276251,0.0003731918,0.001052387,0.001679481,0.002046327,0.000521554,0.0008468335,0.007994777],"category_scores_gemma":[0.002918737,0.0002115807,0.0004135796,0.002903298,0.001615338,0.001481753,0.002574018,0.001392761,0.0003137552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0041044,"about_ca_system_score_gemma":0.002542198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2174118,"about_ca_topic_score_gemma":0.2888547,"domain_scores_codex":[0.9990582,0.0002136462,0.00003386899,0.00004069604,0.00005425245,0.000599289],"domain_scores_gemma":[0.9985663,0.0003406933,0.0004348438,0.00006424996,0.000169462,0.0004244203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002946932,0.0001518101,0.9312006,0.0001150105,0.0001284149,0.005119793,0.008765979,0.001342695,0.0004497491,0.03051027,0.003051159,0.01886984],"study_design_scores_gemma":[0.00003771306,0.0001664307,0.9062334,0.0002789439,0.0001300013,0.001330772,0.07116181,0.001964552,0.0002965912,0.007268392,0.01107122,0.00006016721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758951,0.0007789755,0.0001151693,0.004348049,0.00001270028,0.00002152334,0.0007529213,0.000004049286,0.01807147],"genre_scores_gemma":[0.9990237,0.0002885146,0.0000296084,0.00007241448,0.000002773967,0.00000594285,0.00007809953,0.000001317935,0.0004977466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2174118,"threshold_uncertainty_score":0.4322927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228370282684193,"score_gpt":0.3048894465233787,"score_spread":0.2820524182549594,"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."}}