{"id":"W4410340570","doi":"10.1139/facets-2022-0186","title":"Exploring the Public Health Agency of Canada's and the Ontario government's vaccine-related crisis communication on X during the COVID-19 pandemic","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Agency (philosophy); Crisis communication; Government (linguistics); 2019-20 coronavirus outbreak; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Virology; Public administration; Public relations; Medicine; Sociology; Nursing; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002855137,0.0002735581,0.0002262943,0.002031226,0.008031056,0.004658034,0.0007426215,0.0006420923,0.001961465],"category_scores_gemma":[0.008546795,0.0002417829,0.0002322234,0.003382814,0.005953027,0.002430749,0.003213534,0.001136767,0.0001142454],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05494148,"about_ca_system_score_gemma":0.06397085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565637,"about_ca_topic_score_gemma":0.9765326,"domain_scores_codex":[0.9979883,0.0005904204,0.0000670401,0.0001172822,0.0005973555,0.0006395642],"domain_scores_gemma":[0.9932568,0.002690322,0.001259428,0.0001447704,0.00169454,0.0009540648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001061875,0.0000264085,0.1002882,0.0001589751,0.00001346801,0.000400194,0.8795475,0.00009810244,0.0007239063,0.002883118,0.003707543,0.01204641],"study_design_scores_gemma":[0.000005864323,0.00002327297,0.1013975,0.0001072241,0.00001069133,0.00004387036,0.8826886,0.0001960305,0.0001531035,0.0001641464,0.0151924,0.00001739274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796435,0.0002825949,0.0001625194,0.004270003,0.00003221617,0.00007293565,0.0003740878,0.00000987588,0.01515217],"genre_scores_gemma":[0.9971826,0.0003530601,0.000189629,0.0002947074,0.00001131368,0.00004064769,0.0000965558,0.000006650041,0.001824961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9450585,"threshold_uncertainty_score":0.3986301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07577234092082916,"score_gpt":0.3017072058971224,"score_spread":0.2259348649762932,"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."}}