{"id":"W2599606536","doi":"10.1016/j.vaccine.2017.03.029","title":"Country-level predictors of vaccination coverage and inequalities in Gavi-supported countries","year":2017,"lang":"en","type":"article","venue":"Vaccine","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; Centre Hospitalier de l’Université de Montréal; McGill University; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; GAVI Alliance","keywords":"Inequality; Vaccination; Environmental health; Medicine; Mathematics; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007269256,0.0001197217,0.0002829456,0.0001284541,0.0004665561,0.0001320299,0.0002611102,0.000114866,0.0004994714],"category_scores_gemma":[0.0007015743,0.0001169789,0.00002816793,0.0001047844,0.00001074882,0.0007302171,0.00007054323,0.00009533621,0.000005454438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006540507,"about_ca_system_score_gemma":0.0001734878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049612,"about_ca_topic_score_gemma":0.01694695,"domain_scores_codex":[0.998831,0.00007886022,0.0003511714,0.0001917465,0.0002948138,0.0002523949],"domain_scores_gemma":[0.9990488,0.0001338842,0.0002983157,0.0002885034,0.0001608428,0.00006970954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006980132,0.00003962539,0.9742783,0.00005675515,0.00001645805,0.000009811178,0.00545163,0.000001876779,0.00006842063,0.01634395,0.002407132,0.001256198],"study_design_scores_gemma":[0.001419391,0.00005881886,0.9718691,0.00005297387,0.00001895972,8.674239e-7,0.0008385938,0.00001965706,0.0002970464,0.002276406,0.02301468,0.0001335633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890772,0.0004222021,0.00007061371,0.001627791,0.0003150791,0.0002600169,0.00008118268,0.00003124698,0.008114744],"genre_scores_gemma":[0.9958368,0.001750361,0.00002813358,0.0001020886,0.0002430209,0.000009301139,0.00001670584,0.00001056236,0.002003061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060754,"threshold_uncertainty_score":0.9456795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153171371524326,"score_gpt":0.3059067984195856,"score_spread":0.2743750847043423,"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."}}