Provinces/Territories Join Together to Ask the Federal Government to Delay Approving Generic OxyContin
Bibliographic record
Abstract
The health ministers of Canada's provinces and territories have unanimously agreed to ask for a delay in the approval of a generic form of OxyContin. The ministers made the appeal to the federal government on September 27, 2012, as they met in Halifax to discuss a range of health issues — from federal health care transfer payments to recently announced cuts to the health benefits of some refugees. Nova Scotia Health Minister David Wilson, host of the provincial/territorial gathering, said he and his colleagues agree that further research should be done before any generic versions of the highly addictive and frequently abused drug are approved for the Canadian market. Although OxyContin remains legal in Canada, Ontario and other provinces and territories no longer fund it. The drug's manufacturer, Purdue Pharma, is now marketing OxyNeo as a replacement that is more difficult to grind up to make a powder or liquid for illicit use. The patent for OxyContin expires on November 25, 2012. Health Canada says it has received applications for generic versions. The provincial/territorial ministers presented their unanimous request to federal health minister Leona Aglukkaq, when she joined their meeting on September 28. Health Canada's decisions on drug approvals aren't based on politicians' views, she said at a news conference.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.014 | 0.012 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".