Central Diabetes Insipidus Diagnosed After Gynecologic Surgery: A Case Report
Bibliographic record
Abstract
A 41-year-old woman with non-alcoholic fatty liver disease and complex endometrial hyperplasia with atypia was admitted to our hospital to undergo hysterectomy. Her weight was 107 kg, having doubled after delivery of her second child. After a routine hysterectomy, unexpected polyuria was observed. Investigation revealed a relatively low plasma vasopressin concentration, and absence of hyperintense signals in the region of the posterior lobe of the pituitary gland on T1-weighted magnetic resonance imaging, suggesting partial central diabetes insipidus. It was concluded that excessive intake of sweetened carbonated beverages due to thirst caused by diabetes insipidus had contributed to her obesity. J Endocrinol Metab. 2013;3(1-2):41-46 doi: https://doi.org/10.4021/jem147e
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".