{"id":"W4225109426","doi":"10.1145/3491101.3519760","title":"“Sounds like a Cheesy Radio Ad”: Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Infographic; Coronavirus disease 2019 (COVID-19); Social media; Health communication; Internet privacy; Public health; Computer science; Public relations; World Wide Web; Multimedia; Medicine; Disease; Political science; Nursing; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002911306,0.0003015132,0.000514987,0.0004279546,0.003641097,0.001823957,0.0006809406,0.0001059529,0.00005118332],"category_scores_gemma":[0.0006733328,0.0003135215,0.000135352,0.000339465,0.0001380235,0.001208958,0.00011425,0.0004071604,0.000001514318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011476,"about_ca_system_score_gemma":0.002395006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110233,"about_ca_topic_score_gemma":0.001512951,"domain_scores_codex":[0.9968449,0.0003795678,0.0009686136,0.0004181029,0.0005935569,0.0007952776],"domain_scores_gemma":[0.9973525,0.0006362899,0.0009958978,0.0004026616,0.0003219511,0.0002907024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004688762,0.0003532299,0.0002886392,0.0003231872,0.00007326953,0.000001444271,0.6867406,0.01158797,0.0002828243,0.2979805,0.00055603,0.001765479],"study_design_scores_gemma":[0.001540358,0.000496592,0.01398151,0.000348207,0.00001100937,0.00001000893,0.9578855,0.01027605,0.00001677265,0.002887277,0.01187359,0.0006731532],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816539,0.0003345636,0.009374187,0.0004757632,0.0006204517,0.002128798,0.0001196415,0.0002427994,0.005049911],"genre_scores_gemma":[0.9989343,0.00002115713,0.0002698439,0.0001194352,0.0001175779,0.00003513506,0.0001695734,0.0000307817,0.0003022075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2950932,"threshold_uncertainty_score":0.9999317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1993836785576056,"score_gpt":0.4001281509621482,"score_spread":0.2007444724045426,"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."}}