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Record W4240557269 · doi:10.3899/jrheum.200400

Drs. Rasmussen and Scofield reply

2020· letter· en· W4240557269 on OpenAlexvenueno aff
Astrid Rasmussen, R. Hal Scofield

Bibliographic record

VenueThe Journal of Rheumatology · 2020
Typeletter
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersNational Institutes of HealthU.S. Department of Veterans Affairs
KeywordsPathologicalAutoantibodySalivary glandLymphocytic infiltrationPathologyMedicineInternal medicineImmunologyAntibody

Abstract

fetched live from OpenAlex

The cardinal laboratory/pathological features of Sjögren syndrome (SS) are autoantibodies (anti-Ro/SSA and anti-La/SSB) and lymphocytic infiltrate of the salivary glands. The lymphocytic infiltrate is graded by the focus score (FS)1, 2, which is the number of foci with ≥ 50 lymphocytes per 4 mm2. Much has been published about the clinical and laboratory differences found among Sjögren patients with and without autoantibodies, with the presence of anti-Ro generally associated with more severe disease2,3. However, comparatively few studies have been directed at subjects without a salivary gland lymphocytic infiltrate. Both we4 and Carubbi, et al 5 have compared primary SS patients with an FS of zero (FS = 0) to those patients with a FS ≥ 1. As noted by Carubbi and Alunno6, these 2 studies have fundamental differences. Ours is a cross-sectional … Address correspondence to Dr. R.H. Scofield, 732 NE 18th Street, Oklahoma City, OK 73104, USA. Email: hal-scofield{at}omrf.ouhsc.edu.

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)0.003
metaresearch head score (Gemma)0.020
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.021
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0210.021
Insufficient payload (model declined to judge)0.0080.007

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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
GenreCommentary

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

Citations0
Published2020
Admission routes1
Has abstractyes

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