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
BACKGROUND: The number of patients with second malignancies is growing and they represent about one in six out of all new cancers. Second malignancies can be categorized into three major groups according to the predominant etiological factor(s): (i) treatment-related, (ii) part of a syndrome and (iii) those due to shared etiologic exposures. PATIENTS AND METHODS: This article focuses on radiation-induced malignancies with illustrative cases of thyroid, rectal cancer and sarcoma. RESULTS: The detection and management of radiation-induced malignancies of some case scenarios are presented. Second malignancies are detected within previous radiation field and the time intervals from previous tumor vary from 8 to 21 years. CONCLUSION: Clinicians should aim to reduce radiation-induced malignancies by careful selection of patients and radiation techniques before radiotherapy. Subsequent vigilant follow-up and investigations can detect these radiation-induced malignancies early and, hence, result in successful treatment.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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