{"id":"W3008443627","doi":"10.1016/s1473-3099(20)30120-1","title":"An interactive web-based dashboard to track COVID-19 in real time","year":2020,"lang":"en","type":"letter","venue":"The Lancet Infectious Diseases","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":11164,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Dashboard; Coronavirus disease 2019 (COVID-19); Outbreak; Mainland China; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); China; Public health; Track (disk drive); 2019-20 coronavirus outbreak; Coronavirus; Fast track; Mainland; Pneumonia; Geography; Medicine; Computer science; Virology; Disease; Infectious disease (medical specialty); Data science; Operating system; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"software","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268079,0.003401003,0.001206959,0.003586488,0.0009706504,0.003742087,0.001878906,0.001447802,0.05742237],"category_scores_gemma":[0.007604963,0.0006172177,0.0008210678,0.002069399,0.0004219438,0.003453277,0.003770572,0.002661451,0.02058522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363569,"about_ca_system_score_gemma":0.0007773875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697737,"about_ca_topic_score_gemma":0.005007016,"domain_scores_codex":[0.9983984,0.0003123696,0.0001380677,0.0003511062,0.0005732949,0.0002267684],"domain_scores_gemma":[0.9931437,0.002621496,0.0004773408,0.0007657534,0.001597318,0.001394362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00187034,0.0007675234,0.007743584,0.00100674,0.0001418783,0.0007378758,0.001391729,0.003251011,0.005167975,0.001660803,0.8418081,0.1344524],"study_design_scores_gemma":[0.0009396127,0.001028293,0.03197072,0.0009075007,0.0002009652,0.0004170476,0.001971093,0.05408812,0.01079743,0.00844125,0.8887045,0.0005334693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.051202,0.001677919,0.1099552,0.005020046,0.006296723,0.003156012,0.1699702,0.5705181,0.08220369],"genre_scores_gemma":[0.2945498,0.003221512,0.2762432,0.006403689,0.003297527,0.006846449,0.2820272,0.02821471,0.09919577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05742237,"threshold_uncertainty_score":0.1920969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717864563311139,"score_gpt":0.3301573479180379,"score_spread":0.3029787022849265,"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."}}