Case 221: Hereditary Leiomyomatosis and Renal Cell Cancer Syndrome
Bibliographic record
Abstract
History A 24-year-old woman presented to the emergency department with a history of acute urinary retention, gross hematuria, and left flank pain for 2 days. Past history was unrevealing. Her last menstrual period occurred 2 weeks prior to presentation. At physical examination, she had a temperature of 38.4°C. A palpable mass was noted in the suprapubic region, and a second mass was palpated in the left upper quadrant. Blood work revealed a hemoglobin level of 4.7 g/dL (normal range, 11.5-15.5 g/dL). Her coagulation profile and white blood cell count were within normal limits. Ultrasonography (US) of the abdomen and pelvis was performed and was followed by contrast material-enhanced (80 mL of iopamidol) computed tomography (CT) of the chest, abdomen, and pelvis. Magnetic resonance (MR) imaging of the abdomen and pelvis also was performed.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 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".