{"id":"W4388564404","doi":"10.1136/bmjgh-2023-012204","title":"Impact and cost-effectiveness of measles vaccination through microarray patches in 70 low-income and middle-income countries: mathematical modelling and early-stage economic evaluation","year":2023,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UNICEF; York University; London School of Hygiene and Tropical Medicine; GAVI Alliance; Bill and Melinda Gates Foundation","keywords":"Measles; Measles vaccine; Vaccination; Medicine; Environmental health; Cost effectiveness; Public health; Immunology; Risk analysis (engineering); Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157227,0.000142611,0.0004536542,0.00007765481,0.00007044309,0.00001499453,0.0000306072,0.0001071775,0.00001524008],"category_scores_gemma":[0.00009588499,0.0001227397,0.00003428726,0.0001199218,0.0000828999,0.0001759104,0.00003510335,0.00007840885,0.000005978156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003722435,"about_ca_system_score_gemma":0.0003132889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006110009,"about_ca_topic_score_gemma":0.0001201474,"domain_scores_codex":[0.9986959,0.0002710243,0.0003766975,0.0002626621,0.0001508841,0.0002428264],"domain_scores_gemma":[0.9993121,0.0002404536,0.0001373399,0.0001282683,0.00005250324,0.0001293443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001373876,0.00008198948,0.9891214,0.004374153,0.00005664497,0.000008278037,0.0006948937,0.001457399,0.00002276319,0.001532531,0.000004483317,0.001271622],"study_design_scores_gemma":[0.002501148,0.0004251937,0.9399777,0.00108617,0.00004729827,0.00002046899,0.0001660353,0.04568512,0.00005079631,0.0099476,0.000001898809,0.00009058788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951791,0.001874593,0.0006152695,0.0002768494,0.00003825161,0.00179196,0.0001483975,0.00002803576,0.00004757332],"genre_scores_gemma":[0.9987642,0.0009210735,0.000141505,0.00004444849,0.00002280834,0.00006446633,0.00002791695,0.000009319547,0.000004299536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04914368,"threshold_uncertainty_score":0.5005178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07170343336444739,"score_gpt":0.4274474389171087,"score_spread":0.3557440055526613,"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."}}