Transarterial Radioembolization: A New Selection to Treat Hepatocellular Carcinoma
Bibliographic record
Abstract
With the development of the material science, the clinical application of stable nuclide microspheres has become a hot spot of endovascular treatment of liver cancer in last 10 years. Transarterial radioembolization came to be a new selection to treat hepatocellular carcinoma. The characteristics of the radioactive microsphere determine obvious different between TARE and TACE. For early HCC, TARE as the degradation treatment or transition treatment waiting for liver transplantation.For advanced HCC, TARE as the treatment of unresectable advanced hepatocellular cancer. TARE as the rescue treatment of recurrence after liver resection. TARE as a treatment of HCC with portal vein tumor thrombus. How to make more patients in Asia countries such as China benefit, the optimization of treatment, indications of therapy, radioactive microsphere local production, health economics studies, all needed to further research.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".