{"id":"W4220793642","doi":"10.1080/17453054.2021.2020625","title":"Perceptions of using infographics for scientific communication on social media for COVID-19 topics: a survey study","year":2022,"lang":"en","type":"article","venue":"Journal of Visual Communication in Medicine","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Western University","funders":"Government of Canada","keywords":"Infographic; Social media; Perception; Health communication; Pandemic; Coronavirus disease 2019 (COVID-19); Psychology; Computer science; World Wide Web; Medicine; Communication","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01744897,0.00007104184,0.0002811928,0.0006848714,0.001902253,0.00004261614,0.0007560799,0.00004709996,0.0001356305],"category_scores_gemma":[0.00812846,0.00006676497,0.00007746991,0.0009290334,0.000500974,0.0002599598,0.00009041899,0.0003060026,1.767806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635359,"about_ca_system_score_gemma":0.0006670447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006067705,"about_ca_topic_score_gemma":0.0040037,"domain_scores_codex":[0.9964496,0.001695242,0.0008949449,0.00006565923,0.000755779,0.0001387537],"domain_scores_gemma":[0.9950773,0.002714874,0.001003973,0.0002836343,0.000806172,0.0001141011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007355249,0.001666573,0.01767472,0.00006230266,0.00005986628,2.013471e-7,0.941824,0.0009797515,0.0001892049,0.01406115,0.01614442,0.006602237],"study_design_scores_gemma":[0.0059131,0.001404588,0.08724774,0.0001035313,0.00008418452,0.000002916132,0.8521881,0.002182401,0.000006047079,0.003346076,0.04735192,0.0001693795],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989143,0.0001913668,0.001712411,0.007470103,0.0003219498,0.0008798745,0.00004181952,0.000008981473,0.0002304887],"genre_scores_gemma":[0.9984221,0.0001467033,0.0007328468,0.0004735259,0.00009248556,0.00001580299,0.00007335898,0.000006383694,0.00003672649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08963592,"threshold_uncertainty_score":0.9993972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3595098428454244,"score_gpt":0.5416138764356405,"score_spread":0.1821040335902162,"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."}}