Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
VenueWellcome Open Research · 2020
Typepreprint
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsInstitute of Population and Public HealthInstitute of Infection and ImmunityCanadian Institutes of Health Research
FundersCongressionally Directed Medical Research ProgramsPhilippine Council for Health Research and DevelopmentRIKENScience and Engineering Research BoardCanadian Institutes of Health ResearchQatar National Research FundNational Institute of Food and AgricultureCenters for Disease Control and PreventionOttawa Hospital FoundationConsejo Nacional de Ciencia y Tecnología, ParaguayAgence Française de DéveloppementCentre National pour la Recherche Scientifique et TechniqueFundação de Amparo à Pesquisa e Inovação do Espírito SantoElizabeth Blackwell Institute for Health Research, University of BristolFundação de Amparo à Pesquisa do Estado da BahiaNew South Wales GovernmentFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaCentre National de la Recherche ScientifiqueTürkiye Bilimsel ve Teknolojik Araştırma KurumuFundação de Amparo à Pesquisa do Estado do Rio Grande do SulBanco Bilbao Vizcaya ArgentariaNovo NordiskFundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do MaranhãoBiotechnology Industry Research Assistance CouncilBulgarian National Science FundAgence Nationale de Recherches sur le Sida et les Hépatites ViralesFonds De La Recherche Scientifique - FNRSAustrian Science FundInnovationsfondenAgence Universitaire de la FrancophonieAmerican Council of Learned SocietiesEesti TeadusagentuurRoyal Academy of EngineeringFraunhofer-GesellschaftCoalition for Epidemic Preparedness InnovationsPartnership for Advanced Computing in Europe AISBLBundesministerium für Bildung und ForschungFundação de Amparo à Pesquisa do Estado de Minas GeraisIndian Council of Social Science ResearchU.S. Department of AgricultureBpifranceSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungEuropean CommissionDepartment of Health, Social Services and Public Safety, UK GovernmentBritish Society for Antimicrobial ChemotherapyDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekSaskatchewan Health Research FoundationNational Institute for Health and Care ResearchEuropean and Developing Countries Clinical Trials PartnershipFast GrantsJapan Agency for Medical Research and DevelopmentSvenska Forskningsrådet FormasUniversity of PittsburghInternational Development Research CentreLeibniz-GemeinschaftAgence Nationale de la RechercheFundación BBVASage FoundationAustralian GovernmentScience Foundation IrelandCorporación de Fomento de la ProducciónDepartment of Biotechnology, Ministry of Science and Technology, IndiaConsejo Nacional de Ciencia, Tecnología e Innovación TecnológicaVetenskapsrådetUniversity of MinnesotaUK Research and InnovationAgencia Nacional de Investigación y DesarrolloIrish Research CouncilNational Health and Medical Research CouncilFundação de Apoio à Pesquisa do Estado da ParaíbaAgenția Națională pentru Cercetare și DezvoltareDepartment for Environment, Food and Rural Affairs, UK GovernmentGovernment of OntarioFonds National de la Recherche LuxembourgFundação de Amparo à Pesquisa do Estado do AmazonasWellcomeBurnet InstituteCHIST-ERAVienna Science and Technology FundConsejo Nacional de Ciencia y TecnologíaStyrelsen för Internationellt UtvecklingssamarbeteAgency for Healthcare Research and QualityInternational Growth Centre
KeywordsPreparednessCoronavirus disease 2019 (COVID-19)PortfolioThematic analysisPolitical scienceMedicineBusinessQualitative researchSociologyDiseaseInfectious disease (medical specialty)Social science
Abstract
fetched live from OpenAlexBACKGROUND: The coronavirus disease 2019 (COVID-19) has resulted in an unprecedented research response, demonstrating exceptional examples of rapid research and collaboration. There has however been an ongoing need for greater coordination, with limited resources for research and the shifting global pandemic. METHODS: The UK Collaborative on Development Research (UKCDR) and Global Research Collaboration for Infectious Disease Preparedness (GloPID-R), two funder coordination groups have collaborated to develop a live database of funded research projects across the world relating to COVID-19. Drawing data continually from their members and further global funding bodies, as of 15th October 2022 the database contains 20,006 projects, funded by 351 funders, taking place across 157 countries representing an investment of at least $7.4 billion. To our knowledge it is one of the most comprehensive databases. The database is aligned to the World Health Organisation and GloPID-R Global Research Roadmap: 2019 Novel Coronavirus and the UN Research Roadmap for the COVID-19 Recovery. It is being used by the WHO, governments and further policy makers, research funders and researchers. This living mapping review aims to supplement the database by providing an open, accessible, and frequently updated resource summarising the characteristics of the COVID-19 funded research portfolio. Both descriptive and thematic analyses are presented and updated frequently to aid interpretation of the global COVID-19 funded research portfolio. RESULTS: In this final version ten analysis, we provide an updated detailed descriptive analysis of the database (on data from three months after version nine) and focus our thematic analysis on research gaps, research areas in need of coordination, study populations, and research locations (with a focus on resource-limited countries). CONCLUSIONS: As the global research response to COVID-19 plateaus, this living mapping review has helped both funders and researchers to prioritise resources and review investments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.510
metaresearch head score (Gemma)0.857
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science, Research integrity
Consensus categoriesMetaresearch, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.636
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Teacher spread0.151 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
