Atypical presentation of right-sided native valve infective endocarditis
Bibliographic record
Abstract
A previously healthy 55-year-old man presented to hospital with 10 days of progressive dyspnea with fever, night sweats, and a productive cough and no history of recreational drug use or occupational or animal exposures. His wife had developed similar symptoms 2 weeks earlier but had since recovered. Physical exam revealed a new systolic murmur best heard at the left lower sternal border. Transesophageal echocardiogram demonstrated severe tricuspid regurgitation with a small vegetation. Blood cultures were positive for non-typeable Haemophilus influenzae. This case illustrates the necessity of both timely and proficient diagnosis of H. influenzae infection and the unique challenges associated with detecting H. influenzae–related pathology. Clinicians should be aware of the variable presentations of Haemophilus infection, including respiratory infection, neurological infection, and infective endocarditis. Given the fastidious nature of H. influenzae and variability between subtype pathogenicity, microbiology laboratories require tools to culture and differentiate Haemophilus species.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".