Bibliographic record
Abstract
Canada’s Drug Agency (CDA-AMC) recommends that Jemperli in combination with carboplatin-paclitaxel be reimbursed for the treatment of adults with primary advanced or first recurrent endometrial cancer who are candidates for systemic therapy, if certain conditions are met. Jemperli in combination with carboplatin-paclitaxel should only be covered to treat adult patients who have primary stage III or IV endometrial cancer, experienced a first disease recurrence and have not previously received systemic anticancer therapy for advanced disease, received previous systemic anticancer therapies before (neoadjuvant) or after (adjuvant) surgical removal of the tumour and experienced a first recurrence of disease at least 6 months after the completion of adjuvant or neoadjuvant treatment, and are in relatively good health (as measured by performance status). Jemperli should only be reimbursed in combination with carboplatin-paclitaxel if prescribed by clinicians with expertise in advanced endometrial cancer. Treatment should be supervised and administered in institutions with expertise in systemic therapy delivery. The cost of Jemperli should be reduced.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.011 |
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".