{"id":"W4205204230","doi":"10.2147/jmdh.s347669","title":"A Global Map of COVID-19 Vaccine Acceptance Rates per Country: An Updated Concise Narrative Review","year":2022,"lang":"en","type":"article","venue":"Journal of Multidisciplinary Healthcare","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montenegro; Latin Americans; Narrative review; Asia pacific; Narrative; South asia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002636844,0.0002124202,0.0007758802,0.0001121863,0.001613135,0.00002795772,0.0007434811,0.0000913034,0.003141412],"category_scores_gemma":[0.0002948781,0.0001905003,0.0002055175,0.000752231,0.00004552317,0.000665846,0.0002078251,0.0004902598,0.000005068023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277277,"about_ca_system_score_gemma":0.003892798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245187,"about_ca_topic_score_gemma":0.005651687,"domain_scores_codex":[0.9955248,0.001598992,0.001128986,0.0002912369,0.001022915,0.0004330857],"domain_scores_gemma":[0.9965252,0.0001350496,0.001415031,0.0003032627,0.0009099157,0.0007116001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003371973,0.001316165,0.4543785,0.003299634,0.000238879,0.00102436,0.1619269,0.0008139462,0.0001366254,0.005222524,0.3646676,0.003602863],"study_design_scores_gemma":[0.006603849,0.005422795,0.1319688,0.001508324,0.0003095174,0.0004886862,0.4143928,0.0002007255,0.0000169732,0.00597673,0.4320857,0.00102516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6791011,0.1211859,0.00008829395,0.1962078,0.001325684,0.001229833,0.0005174477,0.00005100557,0.0002928838],"genre_scores_gemma":[0.9859455,0.008930497,0.000477781,0.003761843,0.0004693084,0.00002256958,0.00007865317,0.00001891462,0.0002949825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3224097,"threshold_uncertainty_score":0.9996867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041362977782427,"score_gpt":0.4187674617309418,"score_spread":0.3783538319531175,"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."}}