<i>Mycobacterium szulgai</i>: A Rare Cause of Non-Tuberculous Mycobacteria Disseminated Infection
Bibliographic record
Abstract
(MS) is a rare and slow-growing type of non-tuberculous mycobacteria (NTM), with a human isolation prevalence of less than 0.2% of all NTM cases. MS may cause pulmonary infection, extra-pulmonary localized disease involving the skin, lymph nodes, bone, synovial tissue or kidneys and disseminated infection, when two or more organs are affected. When disseminated infection is present, the patients usually have an underlying immunosuppressive condition. The authors report the case of a 25-year-old patient with systemic lupus erythematosus, presenting with recurrent fever, non-productive coughing, weight loss and asthenia, as well as two violaceous plaques with superficial ulceration in the gluteal region. MS was isolated from the bronchial lavage and skin biopsy cultures, confirming the rare disseminated form of MS infection. After 10 months of follow-up on isoniazid, rifampin, ethambutol and pyrazinamide, no signs of relapse were evident. To date, only 16 other cases of MS disseminated disease have been reported.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".