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Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Bibliographic record
VenueRepository@Hull (Worktribe) (University of Hull) · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
FundersCilagPrecursory Research for Embryonic Science and TechnologyJapan Science and Technology AgencyNovartis PharmaAllerganNational Institutes of HealthEuropean Stroke OrganisationEsperion TherapeuticsNational Science and Technology CouncilDSM Nutritional ProductsIntas PharmaceuticalsLilly DeutschlandNational Research, Development and Innovation OfficeNational Health and Medical Research CouncilNeuraxpharmNovo Nordisk PharmaMinistry of Science and ICT, South KoreaMedical Research CouncilAfrican Academy of SciencesServierIstituto Auxologico ItalianoUniversity of JordanNovo NordiskEisaiConselho Nacional de Desenvolvimento Científico e TecnológicoMinistero della SaluteGeneralitat de CatalunyaMinistry of Education, Culture, Sports, Science and TechnologyAmryt PharmaAustralian Academy of ScienceJohns Hopkins UniversityAmarin CorporationCardinal HealthDaiichi Sankyo EuropeAgios PharmaceuticalsRegeneron PharmaceuticalsFondazione CariploFresenius Medical Care North AmericaDeutsche ForschungsgemeinschaftAlzheimer's AssociationGlobal Brain Health InstituteIdorsia PharmaceuticalsH. Lundbeck A/SInternational Hepato-Pancreato-Biliary AssociationGovernment of CanadaUltragenyx PharmaceuticalCanadian Institutes of Health ResearchItalfarmacoKorean Diabetes AssociationEuropean CommissionAstraZenecaInternational Atomic Energy AgencyAlexion PharmaceuticalsNational Research Foundation of KoreaBiogenKing Saud UniversityBristol-Myers SquibbTeva Pharmaceutical IndustriesAmerican Heart AssociationModernaBill and Melinda Gates FoundationPfizerAmicus TherapeuticsCasen RecordatiAlexander von Humboldt-StiftungJapan Society for the Promotion of ScienceSwedish Orphan BiovitrumAstellas PharmaBayerCardiff UniversityU.S. Department of DefenseEli Lilly and CompanyAOSpineDanoneAmerican Diabetes AssociationSociedad Madrileña de NefrologíaNational Research FoundationAmgenInternational Society of Travel MedicineNational Cerebral and Cardiovascular CenterSanofi
KeywordsStroke (engine)Burden of diseaseDisease burdenAttributable riskQuality-adjusted life yearCause of deathIncidence (geometry)DiseaseDisability-adjusted life year
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.439
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
Opus teacher head0.016
GPT teacher head0.205
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations0
Published2024
Admission routes1
Has abstractno