{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05837982,0.0003105607,0.0008944673,0.005585903,0.002836202,0.01371207,0.00194481,0.01028825,0.01270324],"category_scores_gemma":[0.4166478,0.0005932531,0.0008647166,0.004370037,0.005813003,0.01939743,0.007981626,0.01276127,0.001091485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005541849,"about_ca_system_score_gemma":0.01779712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01453156,"about_ca_topic_score_gemma":0.01605458,"domain_scores_codex":[0.9251438,0.05284188,0.00709036,0.001961907,0.009536938,0.003425112],"domain_scores_gemma":[0.5454537,0.3547689,0.04623624,0.009162531,0.03045288,0.0139257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0018607,0.0007858775,0.1658195,0.005847447,0.001160165,0.002762091,0.04818101,0.001024878,0.0006987947,0.07349173,0.188511,0.5098569],"study_design_scores_gemma":[0.0005218515,0.001093973,0.1453438,0.05326439,0.001721333,0.003494812,0.1108197,0.004216979,0.002722663,0.3141599,0.3619393,0.0007013041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05840259,0.02175128,0.001053628,0.8854454,0.00160268,0.00006876684,0.000882156,0.00004654178,0.03074686],"genre_scores_gemma":[0.8585259,0.02796952,0.001930137,0.105141,0.004139123,0.00007834004,0.0004890067,0.00007695137,0.001650021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05837982,"threshold_uncertainty_score":0.3087457,"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."}}