{"id":"W4289261700","doi":"10.1038/s41597-022-01517-w","title":"The United States COVID-19 Forecast Hub dataset","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia; University of Victoria; TRIUMF","funders":"Oak Ridge National Laboratory; Natural Sciences and Engineering Research Council of Canada; Quest for Intelligence, Massachusetts Institute of Technology; Plant Sciences Institute, Iowa State University; National Institutes of Health; Centers for Disease Control and Prevention; Klaus Tschira Stiftung; Center for Emerging Infectious Diseases, University of Iowa; Iowa State University; North Carolina State University; Bundesministerium für Bildung und Forschung; Council of State and Territorial Epidemiologists; Institute for Health Metrics and Evaluation; National Institute of General Medical Sciences; University of Massachusetts Amherst; Johns Hopkins Bloomberg School of Public Health; Wellcome Trust; U.S. Department of Energy; National Institute of Diabetes and Digestive and Kidney Diseases; California Institute of Technology; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bill and Melinda Gates Foundation; Los Alamos National Laboratory; Johns Hopkins University; Gordon and Betty Moore Foundation; Indiana University-Purdue University Indianapolis; U.S. Department of Homeland Security; National Nuclear Security Administration; Laboratory Directed Research and Development; National Science Foundation","keywords":"Leverage (statistics); Download; Coronavirus disease 2019 (COVID-19); Government (linguistics); Pandemic; Scale (ratio); Disease control; Computer science; Data science; Econometrics; Business; Geography; Infectious disease (medical specialty); Economics; World Wide Web; Environmental health; Medicine; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390072,0.000947383,0.0006478396,0.002235477,0.0005575303,0.001164017,0.001480234,0.001274323,0.01200583],"category_scores_gemma":[0.007297626,0.0003287435,0.0008985568,0.003336742,0.0002467873,0.0007896767,0.001034527,0.001539128,0.009510831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009991718,"about_ca_system_score_gemma":0.001811417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03186092,"about_ca_topic_score_gemma":0.03687044,"domain_scores_codex":[0.9992131,0.0001986505,0.0001144511,0.0002008687,0.0001835984,0.00008928197],"domain_scores_gemma":[0.9976447,0.0008374863,0.0002801683,0.0004313807,0.0006195895,0.0001865293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001391462,0.00006994362,0.01119563,0.000328557,0.00009443618,0.00008153044,0.00004430565,0.006081802,0.0002129917,0.0013278,0.9724613,0.007962618],"study_design_scores_gemma":[0.0005982881,0.00009908704,0.03878868,0.0005395529,0.0001297998,0.0002374181,0.0003525301,0.03396039,0.001421625,0.006703849,0.9170411,0.0001276952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003931683,0.0002572282,0.000644494,0.0004439593,0.0001236889,0.00003567875,0.9922047,0.000631485,0.00172696],"genre_scores_gemma":[0.007012079,0.0001235775,0.001272269,0.0001047607,0.00003714253,0.00008192733,0.9908767,0.00005609585,0.0004352815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03186092,"threshold_uncertainty_score":0.06335092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5946829767412236,"score_gpt":0.495350206423102,"score_spread":0.0993327703181216,"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."}}