{"id":"W3137770325","doi":"10.1093/jtm/taab048","title":"What must be done to tackle vaccine hesitancy and barriers to COVID-19 vaccination in migrants?","year":2021,"lang":"en","type":"article","venue":"Journal of Travel Medicine","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Mechanics Electronics Computer Corporation; Department of Health and Social Care; Rosetrees Trust; National Institute on Handicapped Research; Academy of Medical Sciences; European Society of Clinical Microbiology and Infectious Diseases; National Institute for Health and Care Research","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Vaccination; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Herd immunity; Environmental health; Virology; Family medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01926577,0.000825521,0.002174785,0.001325174,0.004954933,0.007638519,0.00313048,0.007961803,0.01583567],"category_scores_gemma":[0.06485625,0.0005588356,0.001819731,0.00109397,0.005279954,0.01402362,0.007308812,0.008426983,0.002338683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004176838,"about_ca_system_score_gemma":0.05741064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03611105,"about_ca_topic_score_gemma":0.0508632,"domain_scores_codex":[0.9879615,0.00719595,0.0004496613,0.0005896076,0.0008456281,0.002957728],"domain_scores_gemma":[0.9623131,0.01243907,0.003573181,0.001098303,0.00553583,0.01504045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006246157,0.001715163,0.09698156,0.0193097,0.00117295,0.001345616,0.0511359,0.001029596,0.001095837,0.0247976,0.1923489,0.6084426],"study_design_scores_gemma":[0.0005491175,0.002205251,0.1745033,0.09232841,0.001212858,0.001834384,0.3549477,0.002066363,0.001247075,0.08563353,0.2829213,0.0005508165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05432017,0.04323642,0.002172454,0.887679,0.003403207,0.0002828769,0.0003906746,0.0001725176,0.008342777],"genre_scores_gemma":[0.6736494,0.08028971,0.01943091,0.2126436,0.004531095,0.002062432,0.0006670086,0.0001947269,0.006531135],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03611105,"threshold_uncertainty_score":0.1018884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151964156897826,"score_gpt":0.346578442398612,"score_spread":0.3150588008296338,"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."}}