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Record W2599431995 · doi:10.1111/eci.12755

Challenges in gluten‐free diet in coeliac disease: Prague consensus

2017· review· en· W2599431995 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Clinical Investigation · 2017
Typereview
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCoeliac diseaseGlutenGluten freeMedicinePeriod (music)DiseasePediatricsEnvironmental healthIntensive care medicineGerontologyInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: New treatments in coeliac disease are being vigorously pursued to either replace or facilitate the difficult-tofollow gluten-free diet. DESIGN: The present review intends to summarise the challenges in gluten-free diet adherence during the transitional period, as reflected in the last Prague consensus, published in 2016. RESULTS: The honourable panel members recommended that dietary adherence and the consequences of nonadherence represent key components for discussion in the transitional period setting. CONCLUSIONS: There are numerous difficulties in adhering to gluten withdrawal, but the transition period from adolescence to young adulthood is considered a fragile and high-risk period for intentional and unintentional gluten intake.

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.

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)0.010
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.600
GPT teacher head0.521
Teacher spread0.078 · 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