{"id":"W3015045022","doi":"10.2196/18444","title":"Misinformation of COVID-19 on the Internet: Infodemiology Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":637,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Readability; The Internet; Internet privacy; Medicine; Pandemic; Quality (philosophy); Coronavirus disease 2019 (COVID-19); Family medicine; Computer science; World Wide Web; Disease; Computer security; Pathology","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":[0.005528864,0.0002321864,0.0005332629,0.005526478,0.000762961,0.002728074,0.0005193504,0.0009221591,0.00365092],"category_scores_gemma":[0.06103427,0.0002476899,0.0008023542,0.004535077,0.001088749,0.003628368,0.001680605,0.001093762,0.0008210549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475647,"about_ca_system_score_gemma":0.001207848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004811974,"about_ca_topic_score_gemma":0.003510229,"domain_scores_codex":[0.9945369,0.002002596,0.00104356,0.0004679954,0.001520155,0.0004287294],"domain_scores_gemma":[0.9287818,0.03098966,0.02847192,0.002235834,0.007343825,0.002176905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002937278,0.0003559941,0.979921,0.0004684509,0.0001327507,0.0003152508,0.008194517,0.00003050523,0.00008918895,0.000271032,0.0009949054,0.008932711],"study_design_scores_gemma":[0.00002309267,0.0005400298,0.9762238,0.0003784273,0.000210066,0.001133241,0.01772182,0.0003203617,0.0002006759,0.0002166958,0.003003381,0.00002834748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944825,0.001161271,0.0001132847,0.0004483447,0.0000183738,0.0001237429,0.0006614359,0.00000540311,0.002985616],"genre_scores_gemma":[0.9981668,0.0005803306,0.0001242482,0.0002356035,0.00005746153,0.00005214289,0.0003722128,0.000006980494,0.0004042519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005528864,"threshold_uncertainty_score":0.02923977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307029785193319,"score_gpt":0.4003208201634121,"score_spread":0.2696178416440802,"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."}}