Case 275
Bibliographic record
Abstract
History A 61-year-old woman presented to the cardiology service with sinus tachycardia. As part of her work-up, she underwent routine echocardiography that showed a normal heart but incidentally revealed multiple lesions in the liver (Fig 1). An outpatient CT scan was performed to characterize the liver lesions (Figs 2–5). The patient had emigrated to Canada from the Middle East several years earlier and had no medical history of note; in particular, there was no history of cancer or predisposing factors for chronic liver disease. The patient’s clinical examination findings; laboratory test results, including complete blood count; and liver function test results were normal. Figure 1: Echocardiogram of the liver. Figure 2: Axial unenhanced CT image of the abdomen and pelvis (section thickness, 2 mm) shows a metallic skin artifact on the left side of the abdomen. Figure 3: Axial CT image of the abdomen and pelvis obtained 60 seconds after administration of 100 mL of intravenous iohexol (Omnipaque; GE Healthcare, Princeton, NJ) (section thickness, 2.5 mm). Figure 4: Axial CT image of the abdomen and pelvis obtained 60 seconds after administration of intravenous iohexol (section thickness, 2.5 mm). Several small areas of metallic artifact are present on the skin. Figure 5: Coronal CT image of the abdomen and pelvis obtained 60 seconds after administration of intravenous iohexol (section thickness, 2 mm).
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.014 |
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".