{"id":"W3033451625","doi":"10.35500/jghs.2020.2.e13","title":"When misinformation goes viral: access to evidence-based information in the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Journal of Global Health Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"","keywords":"Misinformation; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Computer science; Medicine; Computer security; Outbreak; Infectious disease (medical specialty)","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":[0.009218486,0.0000828323,0.0001610777,0.0001817322,0.0006809939,0.0009064506,0.001466781,0.00004292306,0.00005090804],"category_scores_gemma":[0.006582475,0.00005599108,0.00004659491,0.002176359,0.0002346142,0.01314947,0.00005174176,0.0001823626,0.0000461107],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659867,"about_ca_system_score_gemma":0.01001905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331152,"about_ca_topic_score_gemma":0.0004791121,"domain_scores_codex":[0.9966373,0.0001666977,0.0008646928,0.00007140602,0.001854664,0.0004052637],"domain_scores_gemma":[0.9975338,0.000152006,0.0008163829,0.0001096567,0.000371672,0.001016505],"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":[0.0007029613,0.00006883473,0.07872533,0.0003219904,0.000004654376,0.000004584323,0.5130325,0.02418949,0.00001399019,0.01980389,0.2261488,0.136983],"study_design_scores_gemma":[0.001943109,0.001622716,0.2866162,0.0005322253,0.0000108088,0.00007811949,0.07212993,0.009188198,0.00001758908,0.003384158,0.6240643,0.000412687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3604995,0.0001613799,0.02443477,0.6089857,0.0005751814,0.000905995,0.00001288308,0.00004634631,0.004378268],"genre_scores_gemma":[0.7923082,0.0001202694,0.0005699379,0.2069089,0.0000890835,8.309077e-7,5.534671e-7,7.715076e-7,0.00000147228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4409026,"threshold_uncertainty_score":0.9955932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2240990936578903,"score_gpt":0.4955216371947258,"score_spread":0.2714225435368355,"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."}}