Multidrug-Resistant HIV-1 Infection despite Preexposure Prophylaxis
Bibliographic record
Abstract
The authors reply: Gerhard raises an important question.Iron overload and advanced liver disease have been associated with V. vulnificus infection, specifically with septicemia, 1 and experimental models support enhanced vibrio replication in iron-rich environments. 2Isolated cases of hemochromatosis diagnosis after V. vulnificus wound infection have been reported. 3However, we are aware of no epidemiologic studies of V. vulnificus wound infection and iron overload.Given the recognized association of V. vulnificus infection with liver disease, which is often coincident with iron overload, we agree that it is prudent for patients with liver disease or iron overload to take precautions with shellfish exposure.In the absence of other indicators of hemochromatosis, the usefulness of screening patients with V. vulnificus infection for this diagnosis remains uncertain.In our patient, iron studies revealed a depressed serum iron level of 16 μg per deciliter (normal range, 40 to 159) and a calculated transferrin saturation of 7% (normal range, 25 to 45).These findings were consistent with hypoferremia induced by acute inflammation, 4 and the values subsequently normalized.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 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".