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Record W3036503130 · doi:10.1016/j.preghy.2020.06.005

Standardising definitions for the pre-eclampsia core outcome set: A consensus development study

2020· article· en· W3036503130 on OpenAlexfundno aff
James MN Duffy, Alexandra Cairns, Laura A. Magee, Peter von Dadelszen, Janneke van ’t Hooft, Chris Gale, Lucy C. Chappell, William A. Grobman, Ray Fitzpatrick, S. Ananth Karumanchi, D. N. Lucas, Ben W. Mol, Michael J. Stark, Shakila Thangaratinam, Matthew Wilson, Paula Williamson, Sue Ziébland, Richard J. McManus

Bibliographic record

VenuePregnancy Hypertension · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
FundersSchool of Medicine, University of North Carolina at Chapel HillBalliol College, University of OxfordWeill Cornell Medical CollegeUniversité de ParisSchool of Nursing, University of WashingtonBarts Health NHS TrustSt George's University Hospitals NHS Foundation TrustUniversität LeipzigMedical Research CouncilUniversità degli Studi di BresciaMedical Research Council CanadaUniversiteit StellenboschChulalongkorn UniversityUniversity Hospital Southampton NHS Foundation TrustOxford University Hospitals NHS Foundation TrustNottingham University Hospitals NHS TrustUniversiteit UtrechtUniversidad Nacional de ColombiaKU LeuvenUniversité de MontréalUniversity of WashingtonUniversity of Pennsylvania Health SystemCurtin University of TechnologyMonash UniversityUniversity of AberdeenOulun YliopistoImperial College LondonUniversity of TorontoUniversity of GlasgowUniversity of North Carolina at Chapel HillQueen Mary University of LondonNational Institute for Health and Care ResearchUniversité de SherbrookeNorthwell HealthKing's College LondonUniversidade Estadual PaulistaKarl-Franzens-Universität GrazUniversity of NottinghamUniversity Hospitals of Leicester NHS TrustUniversity College LondonImperial College Healthcare NHS TrustWestern Sydney UniversityBritish Heart FoundationPostgraduate Institute of Medical Education and Research, ChandigarhNorth Bristol NHS TrustRijksuniversiteit GroningenDrexel UniversityUniversity of LeicesterKeele UniversitySouth Australian Health and Medical Research InstituteJichi Medical UniversityNational Institute for Social Care and Health ResearchBarts CharityMedizinische Universität GrazUniversity of PennsylvaniaBurnet InstituteMount Royal UniversityChelsea and Westminster Hospital NHS Foundation TrustUniversity of LeedsUniversity Hospitals Plymouth NHS TrustNational Center for Child Health and DevelopmentUniversity of OxfordUniversity of Dundee
KeywordsOutcome (game theory)EclampsiaCore (optical fiber)Set (abstract data type)Computer scienceMedicineIntensive care medicinePregnancyProgramming languageMathematicsTelecommunications

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)0.442
metaresearch head score (Gemma)0.423
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.688

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4420.423
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0070.004
Science and technology studies0.0030.004
Scholarly communication0.0050.005
Open science0.0060.014
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.651
GPT teacher head0.491
Teacher spread0.159 · 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 designQualitative
DomainMethods
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

Citations21
Published2020
Admission routes1
Has abstractno

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