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Record W4317396186 · doi:10.14740/jmc4031

A Case of Antisynthetase Syndrome Initially Presented With Interstitial Lung Disease Mimicking COVID-19

2023· article· en· W4317396186 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAntisynthetase syndromeCoronavirus disease 2019 (COVID-19)Interstitial lung diseaseComputed tomographySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)LungDiseasePresentation (obstetrics)RadiologyPathologyInfectious disease (medical specialty)Internal medicine

Abstract

fetched live from OpenAlex

In this case report, we present a case of antisynthetase syndrome which is a rare disease that can be easily missed, if not specifically looked for in adults, whose initial presentation is combination of myopathic and respiratory symptoms. In clinical practice, patients presenting with coronavirus disease 2019 (COVID-19) symptoms, whose computed tomography (CT) imaging is consistent with COVID-19, were accordingly isolated and treated as COVID-19 awaiting reverse transcription polymerase chain reaction (RT-PCR) results. However, there are many COVID-19 mimics on chest CT, which can make the CT-based diagnosis of COVID-19 unsafe.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.006
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.036
GPT teacher head0.344
Teacher spread0.308 · 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