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Record W2412702708 · doi:10.1016/s1474-4422(16)30073-4

Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

2016· article· en· W2412702708 on OpenAlexfundno aff
Valery L. Feigin, Gregory A. Roth, Mohsen Naghavi, Priya Parmar, Rita Krishnamurthi, Sumeet S. Chugh, George A. Mensah, Bo Norrving, Ivy Shiue, Marie Ng, Kara Estep, Kelly Cercy, Christopher J L Murray, Mohammad H. Forouzanfar

Bibliographic record

VenueThe Lancet Neurology · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
FundersHealth Research Council of New ZealandSchool of Medicine, New York UniversityNational Institutes of HealthBrain Research New ZealandUniversity of PeradeniyaNational Research University Higher School of EconomicsWuhan UniversityChinese Center for Disease Control and PreventionUniversidade de São PauloMinistry of Business, Innovation and EmploymentNational Institute for Health and Care ResearchGentofte HospitalKing's College LondonInstitute for Health Metrics and EvaluationUniversity of AdelaideUniversiti Kebangsaan MalaysiaMonash UniversityNational University of SingaporeUniversity of MiamiYork UniversityUniversitat Pompeu FabraRigshospitaletUniversity of WashingtonMurdoch Children's Research InstituteLeonard M. Miller School of Medicine, University of MiamiAmerican Heart AssociationBill and Melinda Gates FoundationU.S. Department of Health and Human ServicesLeonard M. Miller School of MedicineYale UniversitySichuan UniversityNational Heart, Lung, and Blood InstituteChildren’s Hospital of Wisconsin Research Institute
KeywordsEnvironmental healthMedicineStroke (engine)Attributable riskRisk assessmentPopulationBody mass indexDisability-adjusted life yearRisk factorDisease burdenDiseaseDemographyInternal medicine

Abstract

fetched live from OpenAlex
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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.009
Bibliometrics0.0040.009
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1,694
Published2016
Admission routes1
Has abstractno

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