Preparing for Subsequent Entry Biologies in Dermatology and Rheumatology in Canada
Bibliographic record
Abstract
BACKGROUND: Patents on several biologics will expire in Canada in the coming years. As they expire, applications to market subsequent entry biologics (SEBs) may be filed in Canada. OBJECTIVE: To provide an understanding of the regulatory pathway and types of trials used for SEB authorization in Canada. METHODS: Health Canada's draft guidance on SEBs was reviewed in regards to key issues and challenges in the development and authorization of SEBs. RESULTS: Health Canada states that SEBs are not "generic biologics" and their authorization is not a declaration of pharmaceutical or therapeutic equivalence to the originator. The agency recommends that physicians make well-informed decisions regarding therapeutic interchange. CONCLUSIONS: Decisions on how to determine the place of SEBs in clinical practice for biologic-naive patients and those already receiving biologics should be made on a case-by-case basis, considering the patient's needs, the characteristics of the biologic required, and the clinical development programs of the applicable SEB.
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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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".