{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136621,0.0005179177,0.0007438315,0.00122493,0.0002501992,0.0009756539,0.0003973474,0.0008815087,0.003138759],"category_scores_gemma":[0.005832698,0.0001770682,0.0008831245,0.001642049,0.0004279299,0.0006544146,0.0006343509,0.0008763061,0.0001914047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753168,"about_ca_system_score_gemma":0.001336819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006273909,"about_ca_topic_score_gemma":0.009332099,"domain_scores_codex":[0.999302,0.0003615548,0.00005890407,0.00008838055,0.0001326972,0.00005643261],"domain_scores_gemma":[0.9974084,0.001972297,0.0003701353,0.00003251807,0.0001474991,0.00006901161],"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":[0.0002420542,0.0002053878,0.03169043,0.04411825,0.002549802,0.0001638297,0.0006698472,0.0008498327,0.0001780141,0.01831741,0.01422368,0.8867914],"study_design_scores_gemma":[0.0001287939,0.0006322655,0.3599391,0.1001894,0.006360105,0.00140532,0.00222513,0.001899625,0.0006553097,0.02135669,0.5050222,0.0001860639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006121228,0.9893848,0.0001778687,0.001870647,0.0001700122,0.0000147276,0.0001888411,0.000003627488,0.0020682],"genre_scores_gemma":[0.03922556,0.9595376,0.0002027265,0.0003332121,0.0002322113,0.00002774913,0.0001076149,0.00000238749,0.0003308182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006273909,"threshold_uncertainty_score":0.01247478,"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."}}