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Strengthening the Reporting of Genetic Risk Prediction Studies: The GRIPS Statement

2011· article· en· W2160688530 on OpenAlexafffund
A. Cecile J.W. Janssens, John P. A. Ioannidis, Cornelia M. van Duijn, Julian Little, Muin J. Khoury

Bibliographic record

VenueCirculation Cardiovascular Genetics · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of Ottawa
FundersNational Center for Research ResourcesErasmus+Erasmus Universitair Medisch Centrum RotterdamNational Institutes of HealthNederlandse Organisatie voor Wetenschappelijk OnderzoekErasmus Medisch CentrumErasmus Universiteit RotterdamCanada Research Chairs
KeywordsEpidemiologyErasmus+MedicineGerontologyPublic healthFamily medicineLibrary scienceHistoryInternal medicineNursing

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)0.660
metaresearch head score (Gemma)0.861
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.340
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6600.861
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0080.009
Bibliometrics0.0140.023
Science and technology studies0.0040.014
Scholarly communication0.0170.016
Open science0.0180.017
Research integrity0.0440.045
Insufficient payload (model declined to judge)0.0070.005

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 head0.505
GPT teacher head0.400
Teacher spread0.105 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreMethods

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

Citations2
Published2011
Admission routes2
Has abstractno

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