Bibliographic record
Abstract
The understanding of the pathogenesis and pathology of ovarian tumours is constantly evolving. Dominant themes in recent studies of ovarian tumours include prognostic features in borderline tumours, molecular events in the pathogenesis of ovarian tumours, the assessment of tumour features that may have prognostic or treatment implications, and the development of techniques that may enhance diagnostic accuracy. The literature has been reviewed with an aim to identifying those studies that can potentially impact practice and improve patient care. The most noteworthy developments include: the understanding that so-called 'tumours of low malignant potential' are virtually always benign, and that one can identify those rare cases with malignant potential; the importance of the recognition of micropapillary serous carcinomas; an improved understanding of early invasive carcinomas and their impact on screening practices; an understanding of the association of endometriosis with ovarian cancer; further awareness of factors in ovarian tumours that influence prognosis, such as refinements in grading and molecular markers such as P27; and refinements in diagnosis so as to distinguish primary from metastatic cancer and benign lesions from malignant tumours more effectively.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".