MétaCan
Menu
Back to cohort
Record W7028775858

Genetic predisposition to increased blood cholesterol and triglyceride lipid levels and risk of Alzheimer disease: A Mendelian randomization analysis

2014· article· en· W7028775858 on OpenAlexfundno aff

Bibliographic record

VenueDigital Commons@Becker (Washington University School of Medicine) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPhilosophy, Sociology, Political Theory
Canadian institutionsnot available
FundersNational Institute of Mental HealthCanadian Institutes of Health ResearchMenzies Centre for Australian Studies, King's College London, University of LondonUniversity of California, San DiegoGenentechNational Institutes of HealthIXICOH. Lundbeck A/SServierUniversity College London Hospitals NHS Foundation TrustKing's College LondonBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchNorthern California Institute for Research and EducationEisaiSynarcSouth London and Maudsley NHS Foundation TrustPfizerBiogenBioClinicaAlzheimer's SocietyWellcome TrustUniversity of Southern CaliforniaMedpaceAlfried Krupp von Bohlen und Halbach-StiftungU.S. Department of DefenseCardiff UniversityEli Lilly and CompanyBristol-Myers SquibbEuropean CommissionMedical Research CouncilMeso Scale DiagnosticsAlzheimer's Disease Neuroimaging InitiativeNovartis Pharmaceuticals CorporationAlzheimer's Association
KeywordsMendelian randomizationGenetic predispositionTriglycerideCholesterolTriglycerides bloodDiseaseBlood cholesterolTotal cholesterol
DOInot available

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 distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.002
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 score0.009
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2014
Admission routes1
Has abstractno

Explore more

Same venueDigital Commons@Becker (Washington University School of Medicine)Same topicPhilosophy, Sociology, Political TheoryFrench-language works237,207