Bibliographic record
Abstract
Endometriosis is a chronic debilitating inflammatory disease of women, with the growth of ectopic endometrium in extrauterine sites like rectovaginal septum, peritoneal surfaces, or ovaries, etc.Though endometriosis is not regarded as a malignant disorder, it does have some features common to malignant disease.They are; local and distant metastasis, invasion and destruction to adjacent structures, unrestricted growth, development of new blood vessels.The association between endometriosis and ovarian, endometrial, and cervical cancers and between endometriosis and extra-ovarian malignancies has been reported in different kinds of literature.Clear cell and endometrioid ovarian carcinomas are presumed to have developed from endometriosis.Ovarian seromucinous borderline tumors, low-grade serous ovarian carcinomas, adenosarcoma, and endometrial stromal sarcomas may also arise from endometriosis.However, it is not very clear whether endometriosis has undergone malignant transformation or simply is found co-existent with cancer.Endometriosis itself may increase a woman's risk of developing non-Hodgkin's lymphoma, malignant melanoma, and breast cancer.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".