{"id":"W3033934096","doi":"10.2196/19969","title":"Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public interest; Coronavirus disease 2019 (COVID-19); Public health; The Internet; Pandemic; Medicine; Demography; Environmental health; Geography; Political science; Disease; Pathology; Infectious disease (medical specialty); Computer science; World Wide Web; Law; Sociology","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":[0.003094375,0.0003161754,0.0007227423,0.008850207,0.0006148797,0.001948109,0.0006778212,0.0005862564,0.00129249],"category_scores_gemma":[0.0167981,0.000398892,0.001035902,0.01719405,0.0006242584,0.002306776,0.001591731,0.0008142933,0.0006099411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455542,"about_ca_system_score_gemma":0.001960529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06571458,"about_ca_topic_score_gemma":0.06449604,"domain_scores_codex":[0.9954399,0.0008350029,0.001336495,0.0007306469,0.001170706,0.0004871886],"domain_scores_gemma":[0.9783053,0.005165067,0.01080392,0.001000084,0.003744943,0.000980611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001646016,0.00003290403,0.9911619,0.0003610183,0.0001661207,0.0001118908,0.0005936587,0.0001683646,0.00009881057,0.0001484825,0.003121064,0.003871224],"study_design_scores_gemma":[0.000008974607,0.0000693706,0.9925185,0.0002444646,0.0001117373,0.0004170405,0.001812273,0.0008256147,0.0001748588,0.00006277748,0.003733213,0.00002110217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258089,0.00305433,0.000295429,0.0006139301,0.00002886469,0.00013277,0.06702438,0.00007558824,0.002965884],"genre_scores_gemma":[0.9669253,0.001438295,0.000475149,0.0002856267,0.0000301628,0.0001744227,0.03030225,0.00003456909,0.000334122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06571458,"threshold_uncertainty_score":0.1306642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070782506067137,"score_gpt":0.4121515480073384,"score_spread":0.2050732974006247,"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."}}