{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004254287,0.0001800606,0.0006637261,0.00008835181,0.0001455446,0.00004669463,0.0001828263,0.00005986335,0.0001108802],"category_scores_gemma":[0.002501063,0.0001187927,0.00007286482,0.0003638266,0.0001013641,0.0001963216,0.0001071655,0.0003232759,0.00001520313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295984,"about_ca_system_score_gemma":0.00286748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291221,"about_ca_topic_score_gemma":0.00006951647,"domain_scores_codex":[0.9962817,0.001456142,0.00104104,0.0003096798,0.0004944672,0.000416998],"domain_scores_gemma":[0.9972939,0.0003934629,0.0006536845,0.0003856724,0.0001258025,0.001147405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001688027,0.0004009485,0.9338034,0.0007712549,0.00004648821,0.000002069822,0.001979997,0.00000929761,5.667443e-7,0.002704204,0.02648535,0.03362765],"study_design_scores_gemma":[0.001390269,0.002741267,0.823054,0.00002056959,6.225246e-7,0.000003900529,0.001038377,0.001480938,4.89355e-8,0.00002169304,0.1701635,0.0000848374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7715046,0.0006387394,0.008966329,0.2110582,0.000136458,0.005110072,0.0002145797,0.0002606531,0.002110436],"genre_scores_gemma":[0.9344557,0.0002267687,0.000106701,0.0645429,0.00005246387,0.0001438961,0.0004314143,0.00000825929,0.00003188869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1629511,"threshold_uncertainty_score":0.5086786,"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."}}