Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Until recently, cytokine therapy has been the only validated option for patients with advanced renal cancer. IFN-alpha is one of very few treatments that have demonstrated improved median survival compared with the appropriate control. In patients with synchronous metastases at diagnosis, debulking nephrectomy prior to interferon, further improves overall survival. High-dose IL-2 appears to be able to cure a small percentage of highly selected patients. There is potential to further improve patient selection for these options. The demonstrated value of cytokines should not be overlooked in the rush to use new drugs. In the adjuvant setting, vaccine therapy has provided the only systemic approach that has any promise. New insights into the complexities of the immune system at the molecular level, as well as the ingenuity and enthusiasm of immunotherapists, will undoubtedly lead to continuing attempts to identify and overcome obstacles to achieve the grail of human tumor rejection in clinical practice. Targets within the immune regulatory system and the use of vaccines as targeting agents may bring together the fields of immunotherapy and targeted therapy in the near future.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it