Bibliographic record
Abstract
This innovative paper from the Quebec Heart Institute (Ste-Foy, Quebec) warrants an addendum concerning an almost forgotten etiological differential of calcific aortic stenosis (CAS) – brucellosis (1). The undersigned, when serving a pathology residency at McGill University (Montreal, Quebec), was impressed by the frequency of Brucella melitensis infections in farmers from remote rural areas possessing CAS in the absence of rheumatic, congenital, hypertensive or age-related degenerative disease. Brucella CAS is a consequence of a chronic, suppurative Gram-negative infective endocarditis (2) having a predilection for calcification and fibrosis. Grossly, native valve vegetations are noteworthy, and the presence of a granulomatous nodularity coexisting with areas of necrosis, caseation and calcification is diagnostic. Brucellosis (undulant fever) is not a rarity among abattoir workers, veterinarians, livestock producers and in the dairy product industry. The message is that of awareness and definitive diagnosis as a prologue to specific antibiotic therapy. Of all the investigative procedures over the years, this author attests to the valid use of sternal marrow aspiration for culture in any such individual presenting with a basal cardiac murmur, asthenia, fever, leucopenia or a conduction defect. Of note, in 2007, Brucella was categorized as a class B infectious pathogen in the bioterrorist sector as related to pericarditis, myocarditis and endocarditis (3). Perhaps, then, the Brucella CAS patient will benefit from antibiotics (4) just as, hopefully, CAS patients with the ‘valvulo-metabolic’ risk will respond to statins and rimonabant.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".