{"id":"W4220917849","doi":"10.1057/s41599-022-01074-y","title":"Vaccine hesitancy and monetary incentives","year":2022,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Incentive; Herd immunity; Vaccination; Willingness to pay; Coronavirus disease 2019 (COVID-19); Public economics; Business; Medicine; Economics; Immunology; Disease; Microeconomics; Internal medicine; Infectious disease (medical specialty)","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":[0.007464348,0.0002466647,0.0003611066,0.0003534664,0.0003412871,0.001128838,0.0003519496,0.0006850469,0.00638328],"category_scores_gemma":[0.05151537,0.0001961207,0.0002817503,0.0001873503,0.0009600506,0.000793922,0.0007474038,0.001097849,0.0002840561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003997539,"about_ca_system_score_gemma":0.0004064165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261782,"about_ca_topic_score_gemma":0.000307663,"domain_scores_codex":[0.9951721,0.003686555,0.0001812032,0.0002031911,0.0005318252,0.0002251642],"domain_scores_gemma":[0.9000582,0.07774826,0.01572353,0.002564771,0.001507437,0.00239789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0104342,0.008299442,0.7867222,0.001064449,0.0009470995,0.000823491,0.003856209,0.006901683,0.01415551,0.0217104,0.002620843,0.1424645],"study_design_scores_gemma":[0.0007031446,0.009335502,0.9253415,0.0004426145,0.000397774,0.0007395501,0.003752119,0.01686606,0.006539775,0.02960863,0.006151274,0.0001219309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931887,0.0001383404,0.0005860495,0.0005992588,0.00001574238,0.00005160748,0.00003086147,0.000007885003,0.005381548],"genre_scores_gemma":[0.9994312,0.00002904945,0.0002178079,0.0001164013,0.000008710025,0.00001990329,0.000009098339,0.000001308891,0.0001664535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007464348,"threshold_uncertainty_score":0.03947574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024931127767729,"score_gpt":0.3274644261284939,"score_spread":0.224971313351721,"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."}}