<i>Francisella philomiragia </i>Adenitis and Pulmonary Nodules in a Child with Chronic Granulomatous Disease
Bibliographic record
Abstract
Francisella philomiragia is a rare and opportunistic pathogen capable of producing invasive infection in patients with compromised neutrophil function and in patients that have survived a near-drowning. A case of F philomiragia adenitis and lung nodules, refractory to cephalosporin therapy, is reported in a 10-year-old boy with chronic granulomatous disease following a facial abrasion from a saltwater crab. To the authors' knowledge, this is the first Canadian clinical isolate to be reported. Genus and species identification was confirmed via 16S ribosomal RNA sequence analysis. A literature review revealed three groups at risk of F philomiragia infection: young patients with chronic granulomatous disease; adults with hematogenous malignancy; and near-drowning patients. Pneumonia, fever without an apparent source and sepsis are the main clinical presentations. Invasive procedures may be required to isolate this organism and ensure appropriate antimicrobial therapy. Limited awareness of F philomiragia has led to delayed identification, patient death and misidentification as Francisella tularensis - a biosafety level three pathogen and potential bioterrorism agent.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 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".