Bibliographic record
Abstract
A 67 year-old male presented with bilateral painless periorbital lesions that appeared to be cystic. These lestions became apparent one year prior and were progressing in size. He described having similar lesions removed many years previously, but they were not as dramatic at that time (Figure 1). His medical history was significant for hypogonadism and hyperprolactinemia recently diagnosed and found to be secondary to a pituitary microadenoma (Microprolactinoma) and he is known to have significant coronary artery disease. His family history was unremarkable. The patient was referred to the dermatological assessment and Hidrocystoma (Eccrine) was diagnosed and treated with surgical drainage. Hidrocystomas are benign, cystic, sweat gland tumours of the skin that occur mostly in adults between 30 and 70 years of age. They are classified as either apocrine or eccrine. Apocrine hidrocystomas arise from the proliferation of apocrine glands and are usually solitary, with a diameter of 3–15 mm. Eccrine hidrocystomas result from cystic dilation due to retention of sweat and blockage of the sweat duct. They are tense, dome-shaped cysts, ranging from 1 to 6 mm in diameter and usually affect the periorbital and malar areas but do not involve the eyelid margin. They may have an amber, brown, or bluish tint. Our patient has no recurrence of the hidrocystomas after 10 months of the surgical drainage and no obvious connection to his prolactinoma can be made. Corresponding authors Hussein Abujrad and Heather Lochnan Division of Endocrinology and Metabolism University of Ottawa Canada
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".