{"id":"W6943780057","doi":"10.17605/osf.io/zj7k3","title":"Replication materials for \"Estimating the size of 'anti-vax' and vaccine hesitant populations in the US, UK, and Canada: comparative latent class modeling of vaccine attitudes\" (2021)","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Class (philosophy); Latent class model; DNA vaccination; Vaccination; Herd immunity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01716108,0.001992511,0.001107446,0.00290163,0.003081881,0.001876596,0.003246517,0.003649157,0.517612],"category_scores_gemma":[0.1751265,0.001890718,0.003309134,0.004017902,0.001066912,0.001480454,0.002007283,0.002791497,0.138376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003306377,"about_ca_system_score_gemma":0.01094743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1051121,"about_ca_topic_score_gemma":0.1229084,"domain_scores_codex":[0.9934888,0.00302844,0.000635395,0.000639689,0.001470138,0.000737571],"domain_scores_gemma":[0.8809204,0.05840411,0.00317608,0.03015688,0.02554212,0.001800449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006416825,0.0003589708,0.002444778,0.0005153188,0.0001091972,0.00007442359,0.0003829937,0.001739282,0.000373646,0.01015265,0.9588715,0.0243355],"study_design_scores_gemma":[0.008624244,0.000787013,0.05170929,0.001542619,0.0003053395,0.0002786874,0.001320013,0.009581478,0.005347527,0.04035304,0.8797199,0.0004308136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005202475,0.0001287052,0.04273449,0.003253713,0.004265559,0.0116597,0.9115712,0.004361782,0.01682238],"genre_scores_gemma":[0.04576214,0.0004842202,0.1376773,0.003273012,0.001385802,0.1368895,0.5521747,0.003830456,0.1185229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8948879,"threshold_uncertainty_score":0.6880679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044778640866767,"score_gpt":0.3264808977195419,"score_spread":0.2760331113108743,"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."}}