Bibliographic record
Abstract
An 86 year old lady presented to her GP with a 2 month history of right hip and left thigh pain. Pelvic plain x-rays revealed a lytic lesion in the left femur and right acetabulum. Thorough clinical examination found an 80 x 60 mm exophytic tumor with an ulcerated surface on her left shoulder. This had been present for over 4 years, the patient believing it ‘just a patch of eczema’. A subsequent CT chest, abdomen and pelvis revealed further bony lesions in her sternum, first rib and sacrum. A biopsy of the left shoulder lesion confirmed ulcerated basal cell carcinama (BCC). Hisological and immunohistochemical examination of a biopsy from the bony lesion in the sternum and first rib confirmed a diagnosis of metastaic BCC. Our patient commenced on treatment with imiquimod cream to the primary BCC, had a rod inserted into her left femur in order to prevent a pathological fracture and was offered palliative radiotherapy for the metastatic deposits, which she declined. She died six weeks later. Worldwide BCC incidence is increasing, but has very high cure rates with early complete surgical excision. Metastatic BCC is very rare but incidence is higher with larger tumors, because large vessel blood supply may facilitate haematological seeding of the tumor. Once it metastasises, BCC is highly malignant with short survival times, usually measurable in months. Our patient is likely to have had metastatic disease for some months prior to presentation. doi: http://dx.doi.org/10.4021/jmc746w
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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| 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".