{"id":"W3155631672","doi":"10.1515/libri-2020-0097","title":"Exploring Sub-Saharan Africa’s Communication of COVID-19-Related Health Information on Social Media","year":2021,"lang":"en","type":"article","venue":"Libri","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Misinformation; Social media; Credibility; Influencer marketing; Public relations; Information Dissemination; Political science; Public health; Pandemic; Coronavirus disease 2019 (COVID-19); Business; Medicine; Disease; Infectious disease (medical specialty); Marketing; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007664223,0.00005868583,0.0001295776,0.0001007754,0.0004730326,0.00007608929,0.0001529356,0.00005995428,0.0002502855],"category_scores_gemma":[0.001275795,0.0000626037,0.00004596632,0.0004836518,0.0000879102,0.001738769,0.00003274998,0.0001142255,0.00009053445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518455,"about_ca_system_score_gemma":0.0007837891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002535676,"about_ca_topic_score_gemma":0.0002520381,"domain_scores_codex":[0.9987305,0.0002752427,0.0003684901,0.00005095243,0.0003910048,0.0001838134],"domain_scores_gemma":[0.9990997,0.0002128919,0.0002600729,0.0001527496,0.00008185855,0.0001927192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001906176,0.00003845529,0.00001861222,0.00005007975,0.00001157791,2.790553e-7,0.795155,0.00005155833,0.00002735338,0.1009653,0.04429694,0.05936581],"study_design_scores_gemma":[0.001093482,0.00004059175,0.009424798,0.00009101958,0.000008709889,0.000001186293,0.1150502,0.000135141,0.001112389,0.00306802,0.8697475,0.0002269656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5481372,0.0008679859,0.0002897336,0.08326317,0.0008924814,0.0005766859,0.00008520087,0.0004459261,0.3654416],"genre_scores_gemma":[0.9956959,0.0023936,0.0001100934,0.001453984,0.00004935862,0.000003695181,0.0001422885,0.000004277706,0.0001467505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8254505,"threshold_uncertainty_score":0.3638232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2383211360988836,"score_gpt":0.3596154943540607,"score_spread":0.1212943582551771,"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."}}