Unusual Case of Non-HIV Patient With Multifocal Pyomyositis: Developed on Appropriate Antibiotic Therapy
Bibliographic record
Abstract
Pyomyositis is a clinical condition classically associated with tropical climates, but there are an increasing number of reports in temperate climates. We present a diabetic patient, who presented with gastrointestinal symptoms and right foot ulcer. He was found to have methicillin-resistant Staphylococcus aureus (MRSA). Initial computed tomography (CT) scan of abdomen and pelvis was negative for any abscesses, but after persistent bacteremia developed pyomyositis being on appropriate antibiotic therapy. This case may make physicians aware that initial negative test results do not always preclude the presence of pyomyositis in the presence of risk factors. J Med Cases. 2022;13(8):391-395 doi: https://doi.org/10.14740/jmc3967
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".