{"id":"W4200346393","doi":"10.3390/vaccines10010007","title":"Ending the Pandemic: How Behavioural Science Can Help Optimize Global COVID-19 Vaccine Uptake","year":2021,"lang":"en","type":"review","venue":"Vaccines","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Memorial University of Newfoundland; Ottawa Hospital; Concordia University; University of Ottawa; Dalhousie University","funders":"","keywords":"Action (physics); Context (archaeology); Promotion (chess); Pandemic; Public relations; Coronavirus disease 2019 (COVID-19); Business; Social distance; Political science; Medicine; Biology; Politics; Infectious disease (medical specialty); Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002504773,0.000704219,0.001808456,0.0002467427,0.003174068,0.001207876,0.002558173,0.0004312592,0.0007596828],"category_scores_gemma":[0.003077392,0.0004745198,0.0007976592,0.00354607,0.00008068257,0.0005145014,0.0005681785,0.0006158462,0.00003087436],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975014,"about_ca_system_score_gemma":0.007620609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880065,"about_ca_topic_score_gemma":0.01395604,"domain_scores_codex":[0.9951379,0.0006163174,0.0007520892,0.001144102,0.001055228,0.00129442],"domain_scores_gemma":[0.9966639,0.0005659751,0.0006512075,0.0009832764,0.0003814051,0.0007541876],"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":[0.00001302806,0.00009833987,0.01750304,0.001758798,0.0001919889,0.0002524338,0.00233546,0.000007694721,6.527222e-7,0.01409073,0.04076791,0.92298],"study_design_scores_gemma":[0.0003272581,0.00002571535,0.0004940577,0.001233205,0.0007179315,0.0001258125,0.00173185,0.00000228303,2.461612e-7,0.0001647437,0.9945911,0.0005858192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001699526,0.987519,0.00006764577,0.006983139,0.001889105,0.001142198,0.0001467867,0.0002582165,0.00182399],"genre_scores_gemma":[0.001086447,0.9928474,0.0002085461,0.0006881173,0.001767569,0.0001329822,0.00007292815,0.00004881666,0.003147175],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9538231,"threshold_uncertainty_score":0.999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440317475946695,"score_gpt":0.4107683023414817,"score_spread":0.2667365547468121,"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."}}