{"id":"W3013917522","doi":"10.2196/18717","title":"Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Public health; Medicine; Odds ratio; Coronavirus disease 2019 (COVID-19); Upload; Pandemic; Internet privacy; Environmental health; Family medicine; Disease; World Wide Web; Infectious disease (medical specialty); Nursing; Computer science; 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":[0.004376515,0.0002520848,0.0005087985,0.006981486,0.0005406659,0.002154739,0.0004375375,0.0009750546,0.006141267],"category_scores_gemma":[0.0315922,0.0002318427,0.001031327,0.007013276,0.0004670704,0.00270945,0.001000205,0.000953118,0.0009949588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007850493,"about_ca_system_score_gemma":0.0009502066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106459,"about_ca_topic_score_gemma":0.002357916,"domain_scores_codex":[0.9966216,0.001229066,0.0007663931,0.0002738495,0.0008774422,0.0002316171],"domain_scores_gemma":[0.9605331,0.01926732,0.01371912,0.0008647777,0.004045309,0.001570364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003249981,0.0005034101,0.983657,0.0007694481,0.0001565343,0.00012057,0.001811496,0.00002818401,0.0000796743,0.0001202569,0.0004698471,0.01195868],"study_design_scores_gemma":[0.00003090129,0.0006098999,0.9907106,0.0004747109,0.0003132027,0.0004262004,0.004657665,0.0002766633,0.0001042627,0.0001171472,0.002260384,0.00001841432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858249,0.003133517,0.0002298034,0.000455583,0.00002809949,0.0002970481,0.002554205,0.00001084897,0.007465977],"genre_scores_gemma":[0.995978,0.001609286,0.0003828722,0.0001553222,0.00006033323,0.0001231232,0.0009566654,0.000005407845,0.0007289708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006981486,"threshold_uncertainty_score":0.0231455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0996359349607142,"score_gpt":0.4116395862603601,"score_spread":0.3120036512996459,"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."}}