Transplant Oncology in Primary and Metastatic Liver Tumors
Bibliographic record
Abstract
Transplant oncology defines any application of transplant medicine and surgery aimed at improving cancer patients' survival and/or quality of life. In practice, liver transplantation for selected hepato-biliary cancers is the only solid organ transplant with demonstrated efficacy in curing cancer. Four are the proposed future contributions of transplant oncology in hepato-biliary cancer (4-e). (1) evolutionary approach to cancer care that includes liver transplantation; (2) elucidation of self and non-self recognition systems, by linking tumor and transplant immunology; (3) exploration of innovative endpoints both in clinical and experimental settings taking advantage from the access to the entire liver explant; (4) extension of surgical limitation in the multidisciplinary approach to hepato-biliary oncology. The aim of this review is to define the principles of transplant oncology that may be applied to hepato-biliary cancer treatment and research, attempting to balance current evidences with future opportunities.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".