Bibliographic record
Abstract
Hirsutism is a common medical presentation to family physicians, internists and endocrinologists. Although the cause is commonly benign, a more serious or life-threatening one should not be missed. Here we report a 58-year-old woman, assessed for hirsutism and 15-pound weight gain, with associated easy bruising and mood swings. On physical examination, she was hypertensive with central obesity. Laboratory work was significant for erythrocytosis, leukocytosis with lymphopenia and transaminitis. With this initial clinical picture, a provisional diagnosis of cortisol and androgen hypersecretion was suspected. Further investigations revealed non-suppressible early morning cortisol after low-dose dexamethasone, elevated 24 hours urinary-free cortisol and late night salivary cortisol. In addition, serum adrenocorticotropin hormone was low and androgens were elevated. These results supported the provisional diagnosis and imaging of the adrenals showed a large 10.4×7.7×5.2 cm right adrenal mass, consistent with adrenocortical carcinoma, for which she underwent surgical resection.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".