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Record W2196088477 · doi:10.1093/pch/6.9.644

The changing face of celiac disease

2001· article· en· W2196088477 on OpenAlexaff
Rameeta Lad, Kevan Jacobson

Bibliographic record

VenuePaediatrics & Child Health · 2001
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsDiseaseMedicineGold standard (test)CornerstoneIntensive care medicineGluten freePathologyInternal medicine

Abstract

fetched live from OpenAlex

The face of celiac disease has changed significantly over the past 50 years. With the advent of new noninvasive and more sensitive screening tools, it has become increasingly apparent that this disease presents in a heterogeneous fashion, with symptomatic disease only occurring in a small number of patients. Furthermore, great insights have been made into the disease's genetic and immunological components, thus increasing the medical community's understanding of the disease. The current gold standard for diagnosis is histological confirmation, and the cornerstone of therapy is lifelong elimination of gluten. Further advances in immunobiological techniques will most likely aid in earlier detection and commencement of the appropriate diet, thus preventing the development of associated complications.

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)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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: Review · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0070.011
Open science0.0010.005
Research integrity0.0120.018
Insufficient payload (model declined to judge)0.0120.002

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 head0.016
GPT teacher head0.311
Teacher spread0.295 · 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 designNot applicable
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

Citations4
Published2001
Admission routes1
Has abstractyes

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