Pneumonia amidst the COVID-19 Pandemic: A Case Report
Bibliographic record
Abstract
Nocardiosis is an infection with increased morbidity and mortality and has the ability to cause localized or systemic suppurative disease in humans and animals. Pulmonary nocardiosis is a subacute or chronic necrotizing pneumonia caused by aerobic actinomycetes of the genus nocardia and rare in immune-competent patients. Clinical diagnosis of pulmonary nocardiosis is difficult owing to the similarity of its presentation with other respiratory pathogens that include actinomycetes members and Mycobacterium tuberculosis. The difficulty in diagnosing human nocardiosis in the lab arises from the fact that most laboratories do not adhere to the lengthy incubation times required for isolation of a Nocardia spp. culture. The lack of clinical, laboratory and epidemiological data on the incidence of nocardiosis in humans undermines its significance as a potential pathogen. Here, we present a case of pulmonary nocardiosis in an older man who initially displayed symptoms similar to those in Covid 19 but was later diagnosed with the condition. The patient has a past history of diabetes and myasthenia gravis on mycophenolate mofetil. Despite the fact that nocardiosis is widespread in immunocompromised individuals, the difficulties we encountered were in detecting a case with comparable radiological findings to Covid 19 pneumonia and the differences in therapy options between the two.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".