Carcinosarcoma of the Gallbladder: A Rare Tumor
Bibliographic record
Abstract
Malignant tumors of the gallbladder are rare, with adenocarcinoma being the most common histological subtype. Carcinosarcoma of the gallbladder, first described in 1907 by Landsteiner, is an extremely rare tumor which comprises less than 1% of the uncommon gallbladder cancers. This unique type of tumor can develop at any major organ, with the uterus being the most common one. Being a tumor that contains epithelial and mesenchymal components, histopathological diagnosis of such rare tumor is a challenging issue. Up to date, there are less than 100 cases of gallbladder carcinoasarocoma reported in the English literature. Therefore, experience and knowledge regarding this rare disease are very limited. Due to the fact that gallbladder carcinosarcoma is a rare and highly forgotten tumor, this article aims to review the English literature to increase awareness of the treating physician to improve diagnosis, management, as well as overall survival.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".