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Record W4407500174 · doi:10.1136/bcr-2024-262905

IgG4-related disease causing dacryoadenitis, bronchial stenosis and lobar collapse

2025· article· en· W4407500174 on OpenAlexaff
Jessica Chan, Kathryn Biddle, Anna Green, David D’Cruz

Bibliographic record

VenueBMJ Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineIgG4-related diseasePathologyAutoimmune pancreatitisLungDiseaseStenosisRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Immunoglobulin G4-related disease (IgG4-RD) is a rare systemic fibroinflammatory disease that can affect almost any organ in the body. The most common sites of IgG4-RD include the salivary glands, orbits and lacrimal glands, pancreas, biliary tree, retroperitoneum and thyroid. Immunoglobulin G4-related lung disease (IgG4-RLD) can occur in isolation or as a component of multisystem disease. Its manifestations are heterogeneous and include lung cavitation, interstitial changes, pleural effusions and lung lesions.We describe a patient with Ig4-RLD manifesting as bronchial stenosis and left upper lobe collapse.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.286
Teacher spread0.276 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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