{"id":"W4220755463","doi":"10.1080/21645515.2021.2008214","title":"Estimating the size of “anti-vax” and vaccine hesitant populations in the US, UK, and Canada: comparative latent class modeling of vaccine attitudes","year":2022,"lang":"en","type":"article","venue":"Human Vaccines & Immunotherapeutics","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Economic and Social Research Council","keywords":"Herd immunity; Latent class model; Vaccination; Pandemic; Vaccine efficacy; Coronavirus disease 2019 (COVID-19); Demography; Psychology; Immunology; Medicine; Statistics; Sociology; Mathematics; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006726285,0.0005274558,0.0005976201,0.001295472,0.001994182,0.002540504,0.001664485,0.0009297813,0.002037051],"category_scores_gemma":[0.01480821,0.0004214594,0.00133823,0.001311377,0.002121005,0.0008551344,0.001697478,0.001812237,0.0003246425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01144656,"about_ca_system_score_gemma":0.007511815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8978552,"about_ca_topic_score_gemma":0.8317431,"domain_scores_codex":[0.9979317,0.001140911,0.00006113966,0.0003131687,0.0001428196,0.0004102068],"domain_scores_gemma":[0.9865617,0.00946919,0.00105616,0.0007652938,0.001301189,0.0008465078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005806462,0.0002065782,0.954178,0.00002860023,0.0002998475,0.00007686867,0.002733877,0.02333028,0.0002240669,0.004299281,0.001393391,0.01264851],"study_design_scores_gemma":[0.000118313,0.0001196225,0.3967104,0.00005815604,0.0002378695,0.0000707621,0.005794584,0.5906788,0.0004589481,0.003600017,0.002074012,0.00007854057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968222,0.00008372696,0.001808498,0.000310066,0.000006544676,0.00004257201,0.0003893797,0.00001337678,0.0005235678],"genre_scores_gemma":[0.996945,0.00006662423,0.001263755,0.00005185401,0.000004367922,0.00003357677,0.0008825549,0.000008013315,0.0007441713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021448,"threshold_uncertainty_score":0.2054927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07876456622537048,"score_gpt":0.3374040324070606,"score_spread":0.2586394661816901,"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."}}