{"id":"W4296564770","doi":"10.21203/rs.3.rs-2061952/v1","title":"Solving Last-Mile Delivery Challenges is Critical to Increase COVID-19 Vaccine Uptake: A Cluster Randomized Controlled Trial","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Development Research Centre","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; UK Research and Innovation; International Growth Centre; Yale University","keywords":"Coronavirus disease 2019 (COVID-19); Mile; Cluster (spacecraft); Cluster randomised controlled trial; Randomized controlled trial; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Geography; Computer science; Virology; Internal medicine; Outbreak; Operating system","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":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03051287,0.0005066418,0.002774612,0.001072922,0.00253805,0.0006619868,0.001534082,0.0006249632,0.01882239],"category_scores_gemma":[0.09619868,0.0004532638,0.001353664,0.0006324365,0.0001247033,0.0002475374,0.003197904,0.002590034,0.0002452685],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499509,"about_ca_system_score_gemma":0.005878782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006816669,"about_ca_topic_score_gemma":0.009671815,"domain_scores_codex":[0.9779013,0.01410254,0.001261691,0.001420242,0.003640198,0.001673968],"domain_scores_gemma":[0.971922,0.02361965,0.0002228417,0.001084179,0.001399407,0.001751942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8910641,0.0005198026,0.00005994976,0.00062342,0.0003276155,0.0003270114,0.02255702,0.00007165866,0.000004372754,0.008699911,0.07481337,0.0009317905],"study_design_scores_gemma":[0.8490768,0.000517013,0.00005886738,0.0003024063,0.0001938138,0.000002043565,0.01583149,0.0003860322,0.000001336973,0.008799234,0.1242391,0.0005919226],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3490433,0.05495803,0.001160826,0.4010887,0.004404424,0.07706489,0.0005593026,0.0009523179,0.1107683],"genre_scores_gemma":[0.9520904,0.01463828,0.0003819458,0.003421476,0.005240104,0.01518678,0.00008758203,0.0001220297,0.008831435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6030471,"threshold_uncertainty_score":0.999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09941088698584093,"score_gpt":0.4470622340248251,"score_spread":0.3476513470389841,"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."}}