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Record W2897056047 · doi:10.1007/s00592-018-1238-4

Usual dietary treatment of gestational diabetes mellitus assessed after control diet in randomized controlled trials: subanalysis of a systematic review and meta-analysis

2018· review· en· W2897056047 on OpenAlexaff
Apolonia García‐Patterson, Montserrat Balsells, Jennifer M. Yamamoto, Joanne Kellett, Iván Solà, Ignasi Gich, Eline M. van der Beek, Eran Hadar, Eurídice Castañeda‐Gutiérrez, Seppo Heinonen, Moshe Hod, Kirsi Laitinen, Sjúrđur F. Olsen, Lucilla Poston, Ricardo Rueda, Petra Rust, Lilou van Lieshout, Bettina Schelkle, Helen Murphy, Rosa Corcoy

Bibliographic record

VenueActa Diabetologica · 2018
Typereview
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsUniversity of Calgary
FundersNational Institute for Health and Care Research
KeywordsGestational diabetesMedicineDiabetes mellitusMeta-analysisRandomized controlled trialInternal medicineMEDLINEPregnancyObstetricsGestationEndocrinologyBiology

Abstract

fetched live from OpenAlex

The prevalence of GDM is on the rise in relation to an increase in predisposing maternal characteristics. The increase is more marked with application of IADPSG-WHO 2013 criteria [ 1 ], with very high rates in special populations [ 2 ].

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.014
metaresearch head score (Gemma)0.036
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: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.025
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.143
GPT teacher head0.407
Teacher spread0.263 · 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
GenreReview

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

Citations19
Published2018
Admission routes1
Has abstractyes

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