{"id":"W3156033828","doi":"10.1016/j.healthplace.2021.102568","title":"Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; University of Waterloo; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public health; Pandemic; Health communication; Public relations; Context (archaeology); Social media; Health promotion; Dissemination; Political science; Environmental health; Coronavirus disease 2019 (COVID-19); Geography; Medicine; Nursing; Disease; 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":[0.00413791,0.0003272166,0.0004130451,0.006562536,0.005599631,0.005481039,0.001326405,0.001176595,0.002845837],"category_scores_gemma":[0.03556142,0.0003723662,0.000325763,0.01510835,0.002581989,0.002918619,0.003348138,0.00159733,0.0003420771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01946315,"about_ca_system_score_gemma":0.03228304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278053,"about_ca_topic_score_gemma":0.940219,"domain_scores_codex":[0.9973121,0.0007214224,0.0001958317,0.0002745344,0.000831701,0.0006644534],"domain_scores_gemma":[0.9706585,0.01541747,0.004302545,0.0008539525,0.007477569,0.001289897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001988415,0.00003687431,0.1642935,0.0005584848,0.00006818178,0.0002880114,0.7854272,0.0001877859,0.001628335,0.001999243,0.007738901,0.03757462],"study_design_scores_gemma":[0.000008532407,0.0000348316,0.3618484,0.0004323494,0.00007448371,0.00007020665,0.6053082,0.000616784,0.0003995451,0.00027575,0.03084452,0.00008632767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817066,0.0006073935,0.0006883022,0.003349667,0.00008556146,0.0001361429,0.0037652,0.00004417898,0.009616898],"genre_scores_gemma":[0.9931353,0.0009705877,0.0008675825,0.0006403036,0.00004301344,0.0001689343,0.001405912,0.00006945073,0.002698946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0721947,"threshold_uncertainty_score":0.1452397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4117590353916571,"score_gpt":0.5024003639096142,"score_spread":0.09064132851795703,"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."}}