{"id":"W6920820303","doi":"10.6084/m9.figshare.23441075","title":"The influence of sociodemographic factors on COVID-19 vaccine certificate acceptance: A cross-sectional study","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Certificate; Multivariate analysis; Public health; Rurality; Vaccination; Rural area; Household income","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":[],"consensus_categories":[],"category_scores_codex":[0.001617267,0.000220244,0.0003337968,0.0007491423,0.001074905,0.0008530026,0.0005586367,0.000592431,0.002062903],"category_scores_gemma":[0.003291607,0.0004436708,0.0004922806,0.0011541,0.0004811513,0.0005389813,0.000579359,0.0008925557,0.0003756547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395637,"about_ca_system_score_gemma":0.002035181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2415519,"about_ca_topic_score_gemma":0.3090552,"domain_scores_codex":[0.9991758,0.0001891691,0.00007804716,0.0001152785,0.0002425091,0.0001991942],"domain_scores_gemma":[0.9962319,0.0006896515,0.001259231,0.0002262484,0.0007473818,0.0008457078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002231495,0.00005440764,0.9993384,0.00000506589,0.00001477936,0.00001258505,0.0002026751,0.000006928531,0.00003072186,0.000006379241,0.00004012652,0.000265551],"study_design_scores_gemma":[0.00000159929,0.00005714574,0.9992206,0.00000539834,0.000007613751,0.00002401511,0.0005289264,0.00005518614,0.00001205204,0.000003585868,0.00008177385,0.000002042482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990964,0.00006161843,0.00003082977,0.00003164796,0.000002762671,0.00002490928,0.0003431907,0.000001335431,0.000407493],"genre_scores_gemma":[0.9991786,0.00007732843,0.00007849824,0.00003747197,0.000003477117,0.00002160275,0.0003392308,0.000001487847,0.0002623059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2415519,"threshold_uncertainty_score":0.4802919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1541220636468043,"score_gpt":0.3993951994706321,"score_spread":0.2452731358238278,"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."}}