Bibliographic record
Abstract
A 62-year-old male presented to the ER with three episodes of diffuse abdominal pain which occurred after eating. He had a history of renal cell carcinoma (RCC), prostate cancer and bladder cancer. FDG-PET/CT scan showed a hypermetabolic soft tissue density within the fundus of the gallbladder. The patient underwent laparoscopic cholecystectomy and surgical pathology revealed clear cell type RCC. This is the first report that features PET/CT imaging to detect RCC metastasis to the gallbladder. Lesions within the gall bladder and their clinical manifestations can be non-specific and PET/CT can help characterize them. RCC metastasis to the gallbladder is very rare but it should be included in the differential diagnosis, especially in patients with a history of RCC. J Clin Med Res. 2014;6(6):482-486 doi: http://dx.doi.org/10.14740/jocmr1886w Correction in J Clin Med Res. 2015;7(5):368-368, doi: http://dx.doi.org/10.14740/jocmr2146e
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| 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".