Rocky Mountain spotted fever contracted along a Canadian road trip: A case report
Bibliographic record
Abstract
Rocky Mountain spotted fever, a potentially fatal tick-borne disease thought to be confined to specific climates and geographic locations, is expanding its reach due to climate change. This is demonstrated by a 73-year-old woman who contracted Rocky Mountain spotted fever outside endemic areas during travel in Canada. Presenting with fevers, arthralgia, weakness, non-bloody diarrhea, conjunctivitis, mild cough, and a rash, this patient was initially started on moxifloxacin (400 mg PO/day) for suspected pneumonia. Treatment was changed to doxycycline (100 mg PO twice daily for 7 days) after dermatology was consulted, and Rocky Mountain spotted fever was thought to be higher on the differential. Rocky Mountain spotted fever was confirmed, and the patient responded well to antibiotics, improving by discharge. The disease's expansion into previously thought nonendemic areas is thought to be linked to milder winters and more extreme dry summers, facilitating pathogen development and tick lineage expansion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| 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".