Orbital metastasis from an occult breast carcinoma (T0, N1, M1)
Bibliographic record
Abstract
The authors report a case of an orbital metastasis from an occult breast carcinoma. A 66-year-old woman presented with a growing left orbital tumour. Orbital CT scan was consistent with lymphoma. However, ocular pathology revealed small neoplastic cells showing an 'indian file pattern' suggestive of metastatic carcinoma and immunohistochemistry was positive for CK7, CK CAM5.2 and oestrogen receptor. A systemic evaluation was then performed with mammogram, breast ultrasound and MRI considered normal. An exhaustive systemic evaluation revealed multiple bone lesions, a right axillary lymph node lesion, which presented the same pattern on pathology and immunohistochemistry, with no evidence of a primary tumour. A diagnosis of a metastatic lobular carcinoma of the breast (T0, N1, M1) was made and the patient was started on chemotherapy and adjuvant hormonal therapy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".