{"id":"W4282977916","doi":"10.54932/ehuh4224","title":"The World Health Organization in a Post-COVID-19 Era: An Exploration of Public Engagement on Twitter","year":2022,"lang":"en","type":"report","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"International Olympic Committee; World Health Organization","keywords":"Public engagement; Legitimacy; Proxy (statistics); Coronavirus disease 2019 (COVID-19); Metadata; Public health; Public opinion; Robustness (evolution); Social media; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Psychology; Public relations; Data science; Computer science; Political science; World Wide Web; Politics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834897,0.0002898653,0.0002601683,0.002492257,0.001503345,0.003200268,0.0003542144,0.0009660775,0.003457139],"category_scores_gemma":[0.008202972,0.0001406101,0.0003188593,0.004880366,0.00131778,0.005479888,0.002816114,0.001042788,0.0009390832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276475,"about_ca_system_score_gemma":0.0006038795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005549949,"about_ca_topic_score_gemma":0.009447078,"domain_scores_codex":[0.9981685,0.001064584,0.00006570414,0.0001363442,0.0003269177,0.0002380124],"domain_scores_gemma":[0.9940447,0.004402433,0.0007349977,0.000286107,0.000285591,0.0002461607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007842836,0.0004040085,0.5547771,0.001014815,0.0002082904,0.002250958,0.2607724,0.001985664,0.006810468,0.04908249,0.03424353,0.08766603],"study_design_scores_gemma":[0.00002718188,0.0001913064,0.5202789,0.0005478921,0.00007342714,0.0007860124,0.3163292,0.01201411,0.002671135,0.01591608,0.131053,0.0001117991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634823,0.0007032411,0.002003852,0.005292614,0.00009674099,0.00007815474,0.004578454,0.00005649637,0.02370809],"genre_scores_gemma":[0.9914327,0.0005250357,0.001382885,0.000469701,0.0001381204,0.0001211743,0.002793179,0.00007778429,0.003059417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005549949,"threshold_uncertainty_score":0.01156527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2847114962756486,"score_gpt":0.4452658298039388,"score_spread":0.1605543335282902,"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."}}