Bibliographic record
Abstract
A 12 yr-old, 30 kg female child was admitted with history of bilateral adrenalectomy for Cushing’s syndrome 3 years back, following which she developed severe darkening of skin all over body and gradually progressing headache. Her endocrine profile revealed ACTH levels of 220 pg/mL (Normal = 6-76 pg/mL) with cortisol of 1.2 μg/dL (normal = 5-25 μg/dL) for which prednisolone 5 mg and fludrocortisone 50 μg daily were being supplemented. Growth hormone levels were increased (4 ng/mL; normal <2 ng/mL). Well defined hypointense mass (9 × 3 mm) arising from anterior pituitary was evident in CT scan. A diagnosis of Nelson’s syndrome was made and sublabial transsphenoidal hypophysectomy was planned. Child was rendered euthyroid on eltroxin 50 μg daily. Airway examination revealed coarse facies with Mallampati II airway.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".