{"id":"W4377940691","doi":"10.1186/s12889-023-15861-y","title":"Unintended consequences of communicating rapid COVID-19 vaccine policy changes– a qualitative study of health policy communication in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; British Academy","keywords":"Medicine; Biostatistics; Public health; Coronavirus disease 2019 (COVID-19); Unintended consequences; 2019-20 coronavirus outbreak; Health policy; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epidemiology; Environmental health; Qualitative research; Public health policy; Pandemic; Health communication; Coronavirus Infections; Family medicine; Virology; Public relations; Nursing; Infectious disease (medical specialty); Outbreak; Pathology; Disease; Political science","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":[0.009147441,0.0005004444,0.0007954089,0.001408427,0.03182796,0.005354675,0.002523362,0.00197899,0.003510789],"category_scores_gemma":[0.01635158,0.0007262941,0.0004379149,0.003075783,0.01515936,0.002332408,0.005335464,0.003062417,0.000216567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1366327,"about_ca_system_score_gemma":0.1601034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9727467,"about_ca_topic_score_gemma":0.9832267,"domain_scores_codex":[0.9902384,0.004621091,0.0003230635,0.0006396197,0.00135262,0.002825142],"domain_scores_gemma":[0.9802231,0.01117435,0.001739405,0.0004385778,0.003344164,0.003080308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002149928,0.00001295414,0.003083149,0.00008045354,0.000002617878,0.0004600293,0.9935161,0.00003048591,0.0001943005,0.0005809046,0.0005643437,0.001453183],"study_design_scores_gemma":[0.000003143264,0.00001736992,0.003504175,0.0001332226,0.000004159886,0.00004881989,0.9881963,0.00006388177,0.00008559207,0.00008650476,0.00784339,0.00001335885],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804606,0.001061796,0.0006497853,0.005964235,0.00007848981,0.0002434892,0.0003190649,0.00001551225,0.01120703],"genre_scores_gemma":[0.991462,0.0009281636,0.0003594196,0.001369224,0.0000165083,0.0001618209,0.00007912285,0.0000219655,0.005601807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1366327,"threshold_uncertainty_score":0.991344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2151795696899158,"score_gpt":0.4669044377945096,"score_spread":0.2517248681045938,"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."}}