Bibliographic record
Abstract
CADTH reimbursement reviews are comprehensive assessments of the clinical effectiveness and cost-effectiveness, as well as patient and clinician perspectives, of a drug or drug class. The assessments inform non-binding recommendations that help guide the reimbursement decisions of Canada's federal, provincial, and territorial governments, with the exception of Quebec. This review assesses elexacaftor-tezacaftor-ivacaftor and ivacaftor (Trikafta): Elexacaftor 100 mg–tezacaftor 50 mg–ivacaftor 75 mg (granules) and ivacaftor 75 mg (granules), oral Elexacaftor 80 mg–tezacaftor 40 mg–ivacaftor 60 mg (granules) and ivacaftor 59.5 mg (granules), oral Patients aged 6 years and older: Elexacaftor 50 mg–tezacaftor 25 mg–ivacaftor 37.5 mg (combination tablet) and ivacaftor 75 mg (tablet), oral Elexacaftor 100 mg–tezacaftor 50 mg–ivacaftor 75 mg (combination tablet) and ivacaftor 150 mg (tablet), oral. Indication: For the treatment of cystic fibrosis (CF) in patients aged 2 years and older who have at least 1 F508del mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".