Bibliographic record
Abstract
Canada’s Drug Agency (CDA-AMC) recommends that Keytruda in combination with chemoradiotherapy be reimbursed by public drug plans for the treatment of Fédération Internationale de Gynécologie et d'Obstétrique (FIGO) 2014 stage III to IVA cervical cancer if certain conditions are met. Keytruda in combination with chemoradiotherapy should only be covered to treat patients who have locally advanced cervical cancer (LACC) (stage III to IVA FIGO 2014 classification) that has not been previously treated, with histologically confirmed squamous cell carcinoma, adenocarcinoma, or adenosquamous carcinoma of the cervix, and who have a relatively good health (as measured by performance status) at the start of treatment. Keytruda in combination with chemoradiotherapy should only be reimbursed if prescribed by clinicians with experience with immuno-oncology and chemoradiotherapy and in treating cervical cancer, and the cost of Keytruda is 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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".