{"id":"W4293087034","doi":"10.2196/38756","title":"COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas at Austin","keywords":"Misinformation; Computer science; Credibility; Machine learning; Artificial intelligence; Set (abstract data type); Coronavirus disease 2019 (COVID-19); Data set; Information retrieval; Natural language processing; Computer security; 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":[0.006272678,0.001704712,0.000778656,0.003165026,0.001004859,0.002440821,0.002388844,0.002029859,0.001933908],"category_scores_gemma":[0.02727937,0.0005801002,0.0008270477,0.001454185,0.00132224,0.002846144,0.001696099,0.003362294,0.001167158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002414661,"about_ca_system_score_gemma":0.002322617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594985,"about_ca_topic_score_gemma":0.01632154,"domain_scores_codex":[0.9969624,0.001360829,0.0001842629,0.000817636,0.0005131919,0.0001617822],"domain_scores_gemma":[0.9842418,0.009561156,0.001564334,0.001538938,0.002634247,0.0004596154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006754277,0.001201217,0.07110166,0.0009882536,0.000353268,0.000473379,0.001301266,0.3155276,0.00381645,0.01173901,0.0424803,0.5503423],"study_design_scores_gemma":[0.00002657168,0.00007247988,0.003141345,0.00009338144,0.0000336526,0.0000781059,0.0002073029,0.9793547,0.002438725,0.009639344,0.004884753,0.00002963562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3483896,0.005795273,0.5833178,0.01973977,0.001086253,0.0008802338,0.005109961,0.01216193,0.02351915],"genre_scores_gemma":[0.7906792,0.0007448561,0.1973147,0.001502145,0.0004194083,0.0003156647,0.004299985,0.0001611023,0.004562936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01594985,"threshold_uncertainty_score":0.03317344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09687160640888523,"score_gpt":0.3995396518257877,"score_spread":0.3026680454169025,"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."}}