Miliary Tuberculosis Presenting as Pyrexia of Unknown Origin in a Health Care Worker
Bibliographic record
Abstract
Pyrexia of unknown origin (PUO) also known as fever of unknown origin (FUO) is a condition that has tested the clinical acumen of many a physician. The myriad conditions that present as PUO and the absence of any leading clinical clues make it a challenge for any doctor. It is well known that health care workers (HCWs) are at high risk of contracting infectious diseases. The threat of infection with blood-borne pathogens is more serious among HCWs than in the general populace because of the risk of occupational exposure to blood and body fluids. Emerging infectious diseases particularly air-borne ones pose a significant health hazard to HCWs. The increased risk of tuberculosis (TB) among HCWs is also well documented. TB can manifest in atypical ways in an HCW. A case of miliary TB presenting as PUO in an HCW has not been reported in indexed literature. Herein we report such a case. Clin Infect Immun. 2020;5(2):41-44 doi: https://doi.org/10.14740/cii102
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".