{"id":"W4405751587","doi":"10.29173/hsi444","title":"De-Bunking COVID-19 Misinformation","year":2021,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Misinformation; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Computer science; Outbreak; Computer security; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03406694,0.0006203353,0.0008233131,0.007700185,0.005102974,0.01537857,0.001338793,0.00610097,0.01199255],"category_scores_gemma":[0.1145103,0.0004822761,0.0007029109,0.003879312,0.01426414,0.01324493,0.008780595,0.006218675,0.002022689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005871748,"about_ca_system_score_gemma":0.0131528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004782175,"about_ca_topic_score_gemma":0.007847958,"domain_scores_codex":[0.9617779,0.0248408,0.001445105,0.001503641,0.008881141,0.001551454],"domain_scores_gemma":[0.8094046,0.1373822,0.01246627,0.01510043,0.02211929,0.003527165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001996383,0.0002551417,0.01838103,0.0008466543,0.000152751,0.0006803094,0.03643132,0.000485024,0.0008253877,0.7593738,0.03739196,0.144977],"study_design_scores_gemma":[0.00004389108,0.0001443278,0.01068962,0.002024372,0.0001757286,0.0006199231,0.03985768,0.001726982,0.003390113,0.6678768,0.2733786,0.00007195312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0926287,0.02040432,0.02112527,0.3610842,0.004166238,0.0002336039,0.0004684524,0.0002260672,0.4996631],"genre_scores_gemma":[0.8972576,0.008752063,0.00802054,0.04649704,0.002556703,0.0001412062,0.0001670683,0.00008866501,0.03651923],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03406694,"threshold_uncertainty_score":0.1801654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083441165214626,"score_gpt":0.5003558434972015,"score_spread":0.2920117269757389,"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."}}