Bibliographic record
Abstract
The pan-Canadian Oncology Drug Review Expert Review Committee (pERC) recommends that public drug programs reimburse Padcev, in combination with pembrolizumab, for treating patients with locally advanced urothelial cancer (UC) or metastatic urothelial cancer (mUC). Padcev, in combination with pembrolizumab, should only be covered to treat adult patients with unresectable locally advanced UC or mUC with no prior systemic therapy for mUC and who are in relatively good health. Eligible patients include those who have received chemotherapy before surgery (neoadjuvant) or after surgery (adjuvant) and experienced disease recurrence more than 12 months after the completion of treatment or received adjuvant immunotherapy with nivolumab and experienced disease recurrence more than 6 months after the completion of treatment. Padcev, in combination with pembrolizumab, should only be reimbursed if prescribed by a clinician who has experience treating patients with locally advanced UC or mUC and if the price of Padcev 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".