{"id":"W3116528443","doi":"10.3389/fpubh.2020.614113","title":"Economic and Behavioral Influencers of Vaccination and Antimicrobial Use","year":2020,"lang":"en","type":"review","venue":"Frontiers in Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fogarty International Center; Natural Sciences and Engineering Research Council of Canada; Science and Technology Directorate; Centers for Disease Control and Prevention; National Science Foundation; National Institutes of Health; James S. McDonnell Foundation; U.S. Department of Homeland Security","keywords":"Vaccination; Incentive; Medicine; Influencer marketing; Context (archaeology); Antibiotic resistance; Environmental health; Population; Infectious disease (medical specialty); Public health; Disease; Immunology; Antibiotics; Business; Marketing; Economics","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":[0.0007509543,0.0001702102,0.001066384,0.0003478581,0.0001535905,0.0001406241,0.000179611,0.0002192416,0.00002121131],"category_scores_gemma":[0.0001054507,0.0001784632,0.00007605916,0.0002690579,0.00003556262,0.0006163858,0.00006421673,0.0002488748,0.000001546518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006789049,"about_ca_system_score_gemma":0.003006265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002575383,"about_ca_topic_score_gemma":0.001146144,"domain_scores_codex":[0.9982454,0.0003979483,0.0005784316,0.0003289464,0.0001051904,0.0003440369],"domain_scores_gemma":[0.9991385,0.00005317627,0.0004103295,0.0001193118,0.00002718986,0.0002514964],"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":[0.000001541929,0.00001665089,0.01550592,0.001569521,0.00001468466,0.000002199189,0.002312764,5.872291e-8,3.877371e-9,0.000633378,0.01300387,0.9669394],"study_design_scores_gemma":[0.000169763,0.00004402735,0.002530291,0.0005310674,0.00002749591,0.000001663474,0.0003233046,0.000003323795,1.422557e-8,0.0000466746,0.9961813,0.0001410571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001862985,0.9943011,0.00007776426,0.002097521,0.0006509508,0.0007608643,0.0000776392,0.00002308128,0.0001480707],"genre_scores_gemma":[0.000996484,0.9976153,0.001005353,0.0001571971,0.0001190198,0.00001214292,0.00002996237,0.00001687888,0.00004760817],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9831774,"threshold_uncertainty_score":0.727752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08470901893905908,"score_gpt":0.3817965894784378,"score_spread":0.2970875705393787,"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."}}