Cutaneous lesions induced by Mycobacterium chelonae
Bibliographic record
Abstract
Introduction: Immune deficiency is the main risk factor for the atypical mycobacteriosis infection and its progression.Erythematous, infiltrative skin lesions with nonspecific symptoms impede the diagnosis of atypical mycobacterium cutaneous infection, which is commonly mediated by Mycobacterium marinum.Objective: We present the case of a 76-year-old woman with infiltrative ulcerative skin lesions on her left upper extremity.Case report: The diagnosis of mycobacteriosis included histological tissue findings as well as a microbiological verification.Immune deficiency was excluded.Mycobacterium chelonae was detected in the infected tissue with the polymerase chain reaction method.Targeted antibiotic therapy was implemented, initially with clarithromycin, followed by intravenous linezolid, leading finally to complete cure.Conclusions: The diagnosis of atypical mycobacteriosis is based on the complex and time-consuming microbiological examination including molecular diagnostics and culture.It is essential to administer targeted antibiotic therapy based on the antibiogram, due to possible broad antibiotic resistance of non-tuberculous mycobacterioses.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".