{"id":"W3212978063","doi":"10.1371/journal.pone.0259513","title":"COVID-19 vaccine hesitancy and refusal and associated factors in an adult population in Saskatchewan, Canada: Evidence from predictive modelling","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health","funders":"University of Saskatchewan","keywords":"Vaccination; Logistic regression; Demography; Medicine; Multinomial logistic regression; Population; Pandemic; Coronavirus disease 2019 (COVID-19); Family medicine; Environmental health; Immunology; Disease; Internal medicine; Statistics; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00834266,0.001110347,0.0009737822,0.001352987,0.002027683,0.002154615,0.002907298,0.0009214138,0.002959499],"category_scores_gemma":[0.02422886,0.0008330902,0.00242534,0.003326081,0.001323026,0.0007858348,0.001402323,0.001669765,0.0003402574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01654999,"about_ca_system_score_gemma":0.0387289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9822875,"about_ca_topic_score_gemma":0.973587,"domain_scores_codex":[0.9970524,0.001328331,0.0002159706,0.0003951881,0.0006287313,0.0003793701],"domain_scores_gemma":[0.9799938,0.01111292,0.002368243,0.001114768,0.004054435,0.001355874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002660033,0.0001101977,0.9843263,0.0002413448,0.0007090515,0.00005675824,0.0007710261,0.002222528,0.00002085026,0.0002574805,0.001643509,0.009375006],"study_design_scores_gemma":[0.0001120766,0.0001987597,0.9593545,0.0007885794,0.001192855,0.00008728991,0.002786837,0.03270974,0.00006305463,0.0006733662,0.001971666,0.00006132388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850953,0.004150296,0.001233421,0.001789255,0.0000678866,0.0001982902,0.004612799,0.00005030673,0.00280239],"genre_scores_gemma":[0.993431,0.002568462,0.0008987165,0.0001967552,0.00001582768,0.00007951138,0.002234105,0.00001396557,0.000561614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771247,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208464426579807,"score_gpt":0.2796705287757654,"score_spread":0.2175858845099674,"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."}}