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Record W2016438038 · doi:10.1191/0961203304lu1044cr

Lupus pneumonitis or severe acute respiratory syndrome?

2004· article· en· W2016438038 on OpenAlexaboutno aff
Chi Chiu Mok, King Yee Ying

Bibliographic record

VenueLupus · 2004
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChillsMalaisePneumoniaAtypical pneumoniamyalgiaOutbreakPneumonitisHydroxychloroquineRespiratory failureRespiratory systemImmunologyDiseaseIntensive care medicineLungInternal medicineCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Virology

Abstract

fetched live from OpenAlex

Severe acute respiratory syndrome (SARS) is a serious respiratory illness caused by a novel human coronavirus. The disease is highly infectious and carries significant mortality and morbidity. There was a major outbreak of SARS in Guangdong, Taiwan, Beijing, Hong Kong and Toronto between March and June 2003. Common presenting features of SARS are high fever, chills, rigor, malaise, nonproductive cough, lymphopenia and pulmonary infiltrates, followed by rapidly progressive respiratory failure in some cases. We describe two patients with systemic lupus erythematosus (SLE) who presented with fever, systemic upset and pulmonary infiltrates between April and June, 2003. One patient was confirmed to have coronavirus pneumonia while the other had active SLE with lung involvement. Our cases illustrate the difficult diagnostic dilemma in the evaluation of febrile SLE patients during the SARS epidemic.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.002

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 head0.039
GPT teacher head0.336
Teacher spread0.297 · 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.

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

Citations9
Published2004
Admission routes1
Has abstractyes

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