GUEST EDITORIAL Cancer of the Ovary: There Is Reason for Optimism!
Bibliographic record
Abstract
Epithelial ovarian cancer continues to be the leadingcause of death from a gynaecologic malignancy in Canada and the developed world. In 2008, an estimated 2500 Canadian women were diagnosed with ovarian cancer, and approximately 1700 died from their disease, still a very sobering and unfortunate reality for the disease that often only “whispers.”1 While survival in early stage and particu-larly in low grade tumours approaches 90%, the majority of women will present with advanced FIGO stage 3 or 4 dis-ease, will have manifested only vague abdominal symptoms, and can only expect a survival rate of approximately 15 % to 40%.2 Conventional screening modalities such as the ovarian can-cer tumour marker serum CA-125 and trans-vaginal pelvic ultrasound have been disappointing, with studies demon-strating a less than optimal positive predictive value and
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.017 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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".