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Record W4367052469 · doi:10.1177/17557380231169307

Coeliac disease

2023· article· en· W4367052469 on OpenAlexaff
Aline Eggink, Dr Raju Haque, Emilia Robinson

Bibliographic record

VenueInnovAiT Education and inspiration for general practice · 2023
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsCoeliac diseaseMedicineBloatingMalabsorptionDiseaseGastroenterologyGluten freeMalignancyGlutenOsteoporosisAbdominal painInternal medicineSpruePopulationIrritable bowel syndromePathologyEnvironmental health

Abstract

fetched live from OpenAlex

Coeliac disease is a common autoimmune inflammatory condition of the small intestine that is triggered by dietary gluten. Symptoms include fatigue, diarrhoea, bloating, and abdominal pain, as well as extra-intestinal symptoms. The only treatment is a strict life-long gluten-free diet. Despite affecting 1% of the UK population, only 36% of those living with the condition are diagnosed. Undiagnosed coeliac disease can lead to complications, including digestive symptoms, malabsorption, osteoporosis and higher risk of small bowel malignancy. This article aims to raise awareness about the condition and highlight common presentations, investigations, management, and follow-up.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.412
Teacher spread0.374 · 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 designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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